GNN-Communication-Networks

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

If you find this repository helpful, you may consider cite our relevant work:

Jianping W, Guangqiu Q, Chunming W, et al. Federated learning for network attack detection using attention-based graph neural networks[J]. Scientific Reports, 2024, 14(1): 19088. Link
Jiang W. Graph-based Deep Learning for Communication Networks: A Survey[J]. Computer Communications, 2022, 185:40-54. Link
- For the surveyed studies in different scenarios, you may check survey.md
Jiang W, Han H, Zhang Y, et al. Graph Neural Networks for Routing Optimization: Challenges and Opportunities[J]. Sustainability, 2024, 16(21): 9239. Link

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Other Surveys

He S, Xiong S, Ou Y, et al. An overview on the application of graph neural networks in wireless networks[J]. IEEE Open Journal of the Communications Society, 2021. Link
Suárez-Varela J, Almasan P, Ferriol-Galmés M, et al. Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities[J]. IEEE Network, 2022. Link
Tam P, Song I, Kang S, et al. Graph Neural Networks for Intelligent Modelling in Network Management and Orchestration: A Survey on Communications[J]. Electronics, 2022, 11(20): 3371. Link
Ivanov A, Tonchev K, Poulkov V, et al. Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications[J]. Sensors, 2022, 22(15): 5778. Link
Lee M, Yu G, Dai H, et al. Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions[J]. IEEE Wireless Communications, 2022, 29(5): 12-19. Link
Li Y, Xie S, Wan Z, et al. Graph-powered learning methods in the Internet of Things: A survey[J]. Machine Learning with Applications, 2023, 11: 100441. Link
Dong G, Tang M, Wang Z, et al. Graph neural networks in IoT: A survey[J]. ACM Transactions on Sensor Networks, 2023, 19(2): 1-50. Link GNN4IoT Repository

Competition

Suárez-Varela J, Ferriol-Galmés M, López A, et al. The graph neural networking challenge: a worldwide competition for education in AI/ML for networks[J]. ACM SIGCOMM Computer Communication Review, 2021, 51(3): 9-16. Link
Ferriol-Galmés M, Suárez-Varela J, Rusek K, et al. Scaling Graph-based Deep Learning models to larger networks[J]. arXiv preprint arXiv:2110.01261, 2021. Link

Tool

Pujol-Perich D, Suárez-Varela J, Ferriol-Galmés M, et al. IGNNITION: fast prototyping of graph neural networks for communication networks[M]//Proceedings of the SIGCOMM'21 Poster and Demo Sessions. 2021: 71-73. Link
Pujol-Perich D, Suárez-Varela J, Ferriol M, et al. IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems[J]. IEEE Network, 2021. Link Code

Literature

The list would be updated monthly.

2026

Journal

Xiao B, Guo Y, Chen X. Achieving Load Balancing for Multi-Edge Collaboration in WMANs: An Adaptive Graph Reinforcement Learning Method[J]. IEEE Transactions on Mobile Computing, 2026. Link
Peng Y, Wu J, Duan T, et al. Decentralized Topology Robustness Optimization for IoT via Multi-Agent Graph Reinforcement Learning[J]. IEEE Transactions on Mobile Computing, 2026. Link
Yin R, Yang Y, Qin H, et al. Graph Neural Network and Deep Reinforcement Learning Based Approach for V2V Resource Allocation[J]. Physical Communication, 2026: 103295. Link
Zhang H, Jiang Y, Deng X, et al. GraphKANLoc: Physics-Informed Heterogeneous Graph Attention Networks with KAN Regression for Indoor Localization[J]. IEEE Transactions on Mobile Computing, 2026. Link
Han X, Qi K, Pan L, et al. GT-MARL: Graph-and Transformer-Enhanced Multi-Agent Reinforcement Learning for Cloud-Edge Collaborative Scheduling[J]. IEEE Internet of Things Journal, 2026. Link
Huang H, Cui H, Cao P, et al. Max-Min Fair Resource Allocation for Rate-Splitting Multiple Access With Graph Neural Networks[J]. IEEE Transactions on Vehicular Technology, 2026. Link
Chongdarakul W, Yongcharoenchaiyasit K, Aunsri N, et al. Optimizing data analytics workflow scheduling in cloud-fog computing with GNNs[J]. Future Generation Computer Systems, 2026: 108703. Link
Hao F, Xiao L, Chongtao G, et al. AoI-driven queue management and power control in V2V networks: A GNN-enhanced MARL approach[J]. China Communications, 2026, 23(4): 292-311. Link
Hou Y, Lu Y, Chen W, et al. NOMANet: A graph neural network enabled power allocation scheme for NOMA[J]. IEEE Transactions on Vehicular Technology, 2026. Link
Xie J, Guo J, Wang S, et al. Meta-Learning-Enhanced GNN Approach for Signal Compression in Uplink Cell-Free MIMO Networks[J]. IEEE Transactions on Vehicular Technology, 2026. Link
Zhang S, Zhao Y, Yang K, et al. Data Detection and Resource Allocation for Distributed Two-Way Cell-Free Network: A Graph Attention Network-Based Approach[J]. IEEE Transactions on Vehicular Technology, 2026. Link
Omer M B, Sun G, Ayepah-Mensah D, et al. MARLA-TGN: A Framework for Dynamic Privacy-Preserving VNF Auctions in Space-Ground Integrated 6G Networks[J]. IEEE Internet of Things Journal, 2026. Link
Li C, Chen X, Liu G, et al. ST-GCN and Reinforcement Learning-Assisted Dynamic Multi-Strategy Task Offloading in Edge-IoT Vehicular Networks[J]. IEEE Internet of Things Journal, 2026. Link
Wang J, Tan W, Ouyang Z, et al. Dual-Trust Graph Attention Network for Malicious Device Detection in Internet of Things[J]. IEEE Internet of Things Journal, 2026. Link
Wang L, Wei Z, Mao B, et al. Energy Efficient Federated Learning Over Wireless Networks: A GNN-assisted Deep Reinforcement Learning Approach[J]. IEEE Internet of Things Journal, 2026. Link
Li F, Hu H, Jiang Y, et al. Attack Path Planning in 5G-ICPS Penetration Testing: Leveraging TGNN and DRL for Large-scale Network[J]. IEEE Internet of Things Journal, 2026. Link
Zhang P, Chen S, Fan J, et al. Adaptive Orchestration of Service Function Chains in SAGIN-MEC via Graph Reinforcement Learning[J]. IEEE Transactions on Mobile Computing, 2026. Link
Gu Y, Zhou H, Liu C, et al. A Hierarchical GNN-based Multi-Agent Framework for Workflow Scheduling in Hybrid Clouds Considering Privacy Constraints[J]. IEEE Transactions on Services Computing, 2026. Link
Yue Y, Li Z, Shi J, et al. Complex-Valued GNN Based Detector for OTFS Signal under Imperfect Channel Information[J]. IEEE Internet of Things Journal, 2026. Link
Wang X, Zhang C, Wu F, et al. GAT-HDRL: Hierarchical Deep Reinforcement Learning with Graph Attention Network for Real-Time Scheduling of Satellite Task Flows[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Ji H, Wu X, Zeng Z, et al. Graph attention networks-enabled load balancing for 6G heterogeneous networks with parallel transmission[J]. IEEE Transactions on Vehicular Technology, 2026. Link Code
Nagapuri L, Banavathu N R. Graph Neural Network-Based Hybrid Precoding for Intelligent Integrated mmWave MIMO Systems[J]. IEEE Transactions on Consumer Electronics, 2026. Link
Li X, Diao H, Yuan Y, et al. Network intrusion detection with edge-directed graph multi-head attention networks[J]. Engineering Applications of Artificial Intelligence, 2026, 181: 115284. Link
Bharathi S K, Mathivanan M, Mohamedyaseen A, et al. Quokka Swarm Optimized Clifford‐Steerable Dynamic Graph Attention Network for Wireless SDN Traffic Control[J]. International Journal of Communication Systems, 2026, 39(11): e70532. Link
Liang L, Xiang P, Huang H, et al. Sec-GNN-Driven Joint Multidimensional Anti-Eavesdropping Optimization for Secure UAV-Satellite Communications[J]. IEEE Internet of Things Journal, 2026. Link
Zhang J, Tang H, Jiao P, et al. Secrecy rate optimization based on GNN for RIS-assisted ISAC system[J]. IEEE Internet of Things Journal, 2026. Link
Cheng X, Xu B, Yin H, et al. SGA-SAC: Fusing Bayesian Stackelberg games to DRL with graph attention for explainable task offloading in vehicular edge computing[J]. Information Fusion, 2026, 136: 104506. Link
Li Y, Feng L, Zhu Z, et al. EM-GAT: An Edge-enhanced Multi-hop Graph Attention Network for Network Intrusion Detection[J]. Ad Hoc Networks, 2026: 104292. Link
Mittal A, Singh S K. Mobility-Aware MIMO Channel Estimation for RIS-Assisted Terahertz Systems via Meta-Learned Spatio-Temporal Graph Neural Networks[J]. Physical Communication, 2026: 103159. Link
Yang P, Zheng T, Zhang S, et al. Graph-Meta-Reinforcement-Learning-Based Algorithm for Task Offloading in Vehicular Edge-Cloud Collaboration[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Yuan Y, Shen X, Sun L, et al. Key Nodes Prediction and Cascading Failures Mitigation in Dynamic Traffic UASNs Via a GCN-LSTM Model[J]. IEEE Transactions on Mobile Computing, 2025. Link
Wang K, Jiang Q, Wu Y, et al. STATGRAPH: Effective in-vehicle intrusion detection via multi-view statistical graph learning[J]. IEEE Transactions on Mobile Computing, 2025. Link
Teng M, Li X, Zhang X, et al. Graph-Based Spatiotemporal RL Framework for Sequential Task Offloading in Multi-UAV Systems[J]. IEEE Transactions on Mobile Computing, 2025. Link
Wang X, Wang Z, Cheng N, et al. Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks[J]. IEEE Transactions on Mobile Computing, 2025. Link
Li Y, Xu X, Xu J. AI-Enhanced Hierarchical Routing with Q-learning and Graph Neural Networks for 6G-Enabled Internet of Vehicles[J]. Computer Networks, 2026: 112206. Link
Sharma T, Shieh C S, Forng M H, et al. Enhancing Internet of Things Security: A Federated Learning‐Based Hybrid Model With Graph Neural Networks and Transformers[J]. International Journal of Communication Systems, 2026, 39(6): e70446. Link
Rajkumar K, Sivakumar V, Shunmugapriya B, et al. Graph Learning–Based Spatial–Temporal Graph Convolutional Neural Network for Overlap Detection and Optimal Link‐State Routing for Effective Data Transmission in Visual Sensor Network[J]. International Journal of Communication Systems, 2026, 39(5): e70439. Link
Zhan C, Liu W, Song K, et al. Joint UAV placement and dependent task offloading in multi-UAV MEC networks: A graph attention enhanced DRL approach[J]. IEEE Transactions on Mobile Computing, 2025. Link
Yang H, Pan L, Liu S. Learning reward functions via GNNs for multi-agent task placement in edge-cloud LLM services[J]. Journal of Network and Computer Applications, 2026: 104457. Link
Ramesh B, Guganathan L, Arunachalam K P, et al. Non‐Convolutional Decision Transformer Graph Neural Network for Trust‐Aware Routing in 6G‐Enabled MANET‐IoT Networks[J]. International Journal of Communication Systems, 2026, 39(6): e70437. Link
Ampratwum I, Elhadef M, Nayak A. Predictive Maintenance and Reliability in Intelligent 5G Networks based on Graph Neural Networks[J]. IEEE Access, 2026. Link
Abbass W, Abbas N, Majeed U. Prevail: A 6G spatio-temporal graph learning framework for traffic vulnerability prediction[J]. Computer Communications, 2026: 108466. Link
Kagi S, Chandra K R, Sreethar S, et al. Joint Power and Delay Optimization Based Resource Allocation in Mu‐MIMO‐OFDM System Using Optimized Enhanced Elman Spiking Sparse Graph Neural Network[J]. Transactions on Emerging Telecommunications Technologies, 2026, 37(2): e70337. Link
Xu J, Zhang R, Lin D, et al. Sparsity-Resilient QoS Prediction via ε-DP Enhanced Subgraph-Inductive GNNs in Internet of Services[J]. Computer Networks, 2026: 112085. Link
Wu Q, Liu Q, He Y, et al. UGV-Assisted Task Allocation for UAVs: A Heterogeneous Graph Reinforcement Learning Approach[J]. IEEE Transactions on Services Computing, 2026. Link
Wang Z, Yuan F, Qiu H, et al. Large-Scale BGP Routing Anomaly Detection Based on Graph Attention Auto-Encoder[J]. IEEE Transactions on Network and Service Management, 2026, 23: 487-501. Link
Wang C, Dong M, Yuan Y, et al. Energy-efficient trajectory planning for UAV-assisted communication recovery using multi-agent graph reinforcement learning[J]. Ad Hoc Networks, 2026, 184: 104145. Link
Xu J, Chen C, Dai Q, et al. Sparse QoS prediction for cloud services via inductive subgraph pattern aware graph neural network[J]. Computer Communications, 2026, 248: 108415. Link

Conference

Tarzjani F D, Krishnamachari B. Learning Wireless Interference Patterns: Decoupled GNN for Throughput Prediction in Heterogeneous Multi-Hop p-CSMA Networks[C]//2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE, 2026: 1-8. Link Code
Afrin F, Moghim N, Bouk S H, et al. Multi-scale Graph Neural Network for Low-SNR Wireless Signal Classification[C]//2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC). IEEE, 2026: 1-7. Link

2025

Journal

Du Y, Xu S, Chen G, et al. A GNN-based Distributed Beamforming Design for MIMO Cell-Free ISAC Networks[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Li Y, Li J, Yu C, et al. A hierarchical conflict resolution framework with graph transformer-based reinforcement learning for heterogeneous UAV networks[J]. IEEE Internet of Things Journal, 2025. Link
Ma X, Hu J, Liang S, et al. Federated learning and resource-aware graph neural network for intrusion detection in 6G-IoT driven healthcare system[J]. IEEE Internet of Things Journal, 2025. Link
Singh P, Hazarika B, Huang W J. Graph-based Federated Multi-Agent DRL for Semantic and Intent-Aware V2X Communication[J]. IEEE Internet of Things Journal, 2025. Link
Feys T, Van der Perre L, Rottenberg F. Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach[J]. IEEE Journal of Selected Topics in Signal Processing, 2025. Link
Yang J, Li B, Zhang X, et al. A Graph Attention Mechanism-Based Scheme for User Access and Resource Optimization in Heterogeneous Mega-Constellation Networks[J]. IEEE Transactions on Wireless Communications, 2025. Link
Chan K L, Chang R Y, Chien F T, et al. Beamforming and Load-Balanced User Association in RIS-Aided mmWave Systems via Adaptive Attention Graph Neural Networks[J]. IEEE Transactions on Wireless Communications, 2025. Link
Liu X, Fischione C. Coordinated Beamforming for Multi-cell ISAC using Graph Neural Networks[J]. IEEE Transactions on Wireless Communications, 2025. Link
Zhao L, Wu D, He K, et al. Cost-Efficient Federated Learning in Massive IoT: A Physics-Inspired Graph Learning Approach[J]. IEEE Transactions on Communications, 2025, 74: 1019-1032. Link
Jiang Y, Hu J, Min G. D2D-Assisted Hierarchical Federated Learning With Clustering Based on Graph Convolutional Networks[J]. IEEE Transactions on Networking, 2025. Link
Bukhari S M A H, Afaq M, Song W C. G-CSL: A GNN-based client-server-link prediction for video streaming in SDN[J]. Journal of Communications and Networks, 2025, 27(6): 521-533. Link
Yin B, Schampheleer J, Joseph W, et al. Graph Neural Network Based Energy-Efficient Optimization for RIS-Assisted Wireless Networks[J]. IEEE Transactions on Wireless Communications, 2025. Link
Zhang B, Gao R, Gao P, et al. Interference-Suppressed Joint Channel and Power Allocation for Downlinks in Large-Scale Satellite Networks: A Dynamic Hypergraph Neural Network Approach[J]. IEEE Transactions on Wireless Communications, 2025. Link
Lian L, Bai C, Xu Y, et al. Learning to Beamform for Cooperative Localization and Communication: A Link Heterogeneous GNN-Based Approach[J]. IEEE Transactions on Wireless Communications, 2025. Link
Ye M, Zhang J, Guo Z, et al. Learning-Based Adaptive Range Routing for Traffic Engineering With Graph Neural Networks[J]. IEEE Transactions on Networking, 2025, 34: 767-782. Link
Li R, Wang S, Huang H, et al. Multi-Dimensional Spectrum Prediction Using Closed-Form Continuous-Time Neural Network With Graph Attention[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Li Y, Liu Y, Yu W. Multimodal Visual Image Based User Association and Beamforming Using Graph Neural Networks[J]. IEEE Transactions on Wireless Communications, 2025. Link Code
Bilen T. Real-Time Congestion Management in 6G Networks via GNN-Based Detection and Queue-Aware Mitigation[J]. Computer Networks, 2025: 111941. Link
Zhong L, Zhang J, Chen Z, et al. Subtopology-Assisted Federated Graph Learning With Adaptive Neighbor Generation in Edge-Client Collaborative Networks[J]. IEEE Transactions on Networking, 2025. Link
Xie Y, Ding Z, Dai X. Beam Allocation in THz-NOMA Networks: A Graph Neural Network Approach[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Wu Y, Liu Y, Wang F, et al. Exploring Spatio-Temporal Dynamics for Spectrum Sensing: A GCN-LSTM Approach[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Zhang H, Huang K, Yang C, et al. Fast Adversarial Training For Graph Neural Network Based Resource Allocation[J]. IEEE Wireless Communications Letters, 2025. Link
Liu Z, Zhang J, Xu B, et al. GCN-based low-complexity downlink beamforming for cell-free massive MIMO systems with partially coherent joint transmission[J]. IEEE Transactions on Wireless Communications, 2025. Link
Mughal U, Elshazly A, Atat R, et al. Generalizable Topology-Aware GNN-Based Intrusion Detection System for UAV Swarms[J]. IEEE Internet of Things Journal, 2025. Link
Ma Y, Zhang J, Liu Z, et al. Joint Power Control and Precoding for Cell-Free Massive MIMO Systems With Sparse Multi-Dimensional Graph Neural Networks[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Zhou H, Xia W, Zheng G, et al. Graph Neural Network-based Continual Learning for Resource Allocation in Dynamic Wireless Environments[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Gonzalez Bermudez A, Farreras M, Groshev M, et al. Graph Neural Networks for Open Radio Access Network Mobility Management: A Link Prediction Approach[J]. IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2025. Link
Yang K, Xiao Q, and Wang C. Graph Reinforcement Learning-Based Transmission Scheduling for Underwater Acoustic Networks[J]. IEEE Communications Letters, 2025. Link
Long K, Chen S, and Xia G. Interference-Aware GCN-Enabled Hybrid Precoding With Limited Feedback: A Deep Joint Optimization Paradigm for FDD Massive MIMO[J]. IEEE Communications Letters, 2025. Link
Tang H, Zhang J, Zhao Z, et al. Joint Optimization based on Two-phase GNN in RIS-and DF-assisted MISO Systems with Fine-grained Rate Demands[J]. IEEE Transactions on Wireless Communications, 2025. Link
Bai Y, Yu D, Zhang X, et al. Link Prediction of UAV Networks Based on Dynamic Graph Neural Network[J]. IET Communications, 2025, 19(1): e70092. Link
Xiao Z, Liu S, Lu H, et al. Reliability Evaluation for WSNs Based on Deep Reinforcement Learning and Graph Neural Networks[J]. IEEE Transactions on Mobile Computing, 2025. Link
Perez-Ramirez D F, Pérez-Penichet C, Tsiftes N, et al. Robust Generalization of Graph Neural Networks for Carrier Scheduling[J]. IEEE Transactions on Machine Learning in Communications and Networking, 2025. Link Code
Kumar R, Rathinam M. An ERAN-Based Dynamic Graph Neural Network for CSI Prediction in Massive MIMO Systems[J]. IEEE Wireless Communications Letters, 2025. Link
Liu Y, Hua J, Zhou B, et al. BI-TE: achieving GNN-based bandwidth indistinguishable traffic engineering in multi-domain SDN[J]. Frontiers of Computer Science, 2025, 19(11): 1911502. Link
Shu Z, Deng X, Zhang J, et al. Decoupled Uplink-Downlink Multi-Connectivity Scheduling in Full-Duplex Cell-Free Massive MIMO Networks: A HGN-DRL Approach[J]. IEEE Transactions on Networking, 2025. Link
Rao Z, Zhu Z, Niyato D, et al. Dynamic LEO Satellite Routing Approach Based on Deep Graph Attention and Incremental Evolutionary Reinforcement Learning[J]. IEEE Internet of Things Journal, 2025. Link
Sivanantham E, Sekhar J C, Pullarao M V, et al. Energy‐Efficient Cluster Head Selection and Multipath Routing in WSN Using Heterogeneous‐Hyper Graph Neural Network and Velocity Paused Particle Swarm Optimization[J]. International Journal of Communication Systems, 2026, 39(1): e70263. Link
Cheng X, Liu B, Liu X, et al. Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration[J]. IEEE Transactions on Network Science and Engineering, 2025. Link
Tian K, Yue C, She C, et al. GNN-based Auto-Encoder for Short Linear Block Codes: A DRL Approach[J]. IEEE Transactions on Communications, 2025. Link Code
Feng H, Zhang W, Liu Y, et al. GNN-enabled Multi-Agent DRL for Adaptive Path Selection in Multi-Network Domains[J]. IEEE Transactions on Network Science and Engineering, 2025. Link
He C, Lu Y, Chen W, et al. Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Le H A, Van Chien T, Choi W. Graph Neural Network based Active and Passive Beamforming for Distributed STAR-RIS-Assisted Multi-User MISO Systems[J]. IEEE Transactions on Communications, 2025. Link
Zhang H, Han Y, Meng L, et al. MFFGCN: Multimodal Feature Fusion Graph Convolution Network for Radio Map Estimation With Uneven Spatial Sampling[J]. IEEE Transactions on Mobile Computing, 2025. Link
Ba X, Zhang X, Li S, et al. Multimodal semantic communication system based on graph neural networks[J]. Intelligence & Robotics, 2025, 5(3): 805-26. Link
He X, Dai Y, Yu C, et al. Multi-User Parallel Channel Extrapolation Based on Graph-Transformer[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Guo Z, Li F, Xie T, et al. NetGenius: Routing Configuration Recommendation Based on Graph Neural Network[J]. IEEE Transactions on Networking, 2025. Link
Huang X, Huang T, Cheng P, et al. Optimizing Task Migration for Public and Private Services in Vehicular Edge Networks: A Dual-Layer Graph Neural Network Approach[J]. IEEE Transactions on Mobile Computing, 2025. Link
Fang H, Huang K, Ye H, et al. Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Zong Y, Chen L, Canyelles-Pericas P, et al. Resilient time synchronisation for aerial swarms by distributed graph neural networks[J]. IEEE Transactions on Network Science and Engineering, 2025: 1-15. Link Code
Zhang S, Liu A, Han C, et al. Federated Graph Reinforcement Learning-Driven Adaptive Routing Strategy for Mega LEO Satellite Networks[J]. IEEE Wireless Communications Letters, 2025. Link
Tong R, Guo S, Qiu X, et al. GCN and DRL based on dependent task offloading mechanism in edge computing[J]. Digital Communications and Networks, 2025. Link
Zhang Y, Li S, Li D, et al. GCN-Based Multi-Station Collaborative Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks[J]. IEEE Communications Letters, 2025. Link
Feng F, Zhang Y, Wang Z, et al. GOMOS: A GNN-Assisted Network-Media Integrated Optimization Framework for Massive Mobile Live Streaming[J]. IEEE Transactions on Cognitive Communications and Networking, 2025. Link
Tang X, Zhao K, Shen C, et al. Graph Attention Network-Driven Hierarchical Learning for Anti-Jamming UAV Communications[J]. IEEE Transactions on Wireless Communications, 2025. Link
Huang Y, Lin L, Wang X, et al. Graph Neural Network-Based Intermittent Fault Diagnosis for Reliability of Symbiotic Internet of Things[J]. IEEE Internet of Things Journal, 2025. Link
Li Y, Lu Y, Zhang G, et al. Homogeneous and Heterogeneous Graph Learning for Hybrid Beamforming in mmWave Systems[J]. IEEE Transactions on Wireless Communications, 2025. Link
Ma Z, Zhang N, Zhang H, et al. Joint Design of Sub-channel Assignment and Power Control in D2D Aided Cellular System: A Novel GNN and DRL based Approach[J]. Computer Networks, 2025: 111708. Link
Keerthi D S, Vishwanath P, Ramulu K P, et al. Joint Optimization of User Association and Power Allocation in Wireless Networks Using a Large Spatio‐Temporal Graph Transformer Model[J]. Internet Technology Letters, 2025, 8(6): e70131. Link
Farhan M, Wang L, Shah N, et al. PowerNetMax: A DRL-GNN Framework for IRS-Assisted IOT Network Optimization[J]. Computer Networks, 2025: 111760. Link
Sun Y, Yang Y, Hawbani A, et al. QoS Optimization Strategy Based on D-GNN for LEO Satellite-Assisted Aviation Networks[J]. Computer Networks, 2025: 111741. Link
Liu M, Huang C, Alhammadi A, et al. Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks[J]. IEEE Transactions on Wireless Communications, 2025. Link
Xu H, Gao X, Liu J, et al. FedACS: An Adaptive Client Selection Framework for Communication-Efficient Federated Graph Learning[J]. IEEE Transactions on Mobile Computing, 2025. Link
Huang Z, Wang Z, Han Z. Graph Neural Network Empowered Wireless Communications: Fundamentals, State-of-the-Art, Challenges, and Opportunities[J]. IEEE Wireless Communications, 2025. Link
He C, Lu Y, Ai B, et al. ICGNN: Graph Neural Network Enabled Scalable Beamforming for MISO Interference Channels[J]. IEEE Transactions on Mobile Computing, 2025. Link
Wang S, Song X, Song T, et al. Joint Optimization of Beamforming and Trajectory for UAV-RIS-Assisted MU-MISO Systems Using GNN and SD3[J]. IEEE Transactions on Mobile Computing, 2025. Link
Lin L, Liu Y, Cao L, et al. Low-Altitude Communication Networks Planning for Air Routes Coverage Based on Semi-Supervised GCN[J]. IEEE Communications Letters, 2025. Link
Liu H, Bi J, Li B, et al. Predictive ISAC Beamforming Using LoRA-Transformer LSTM Integrated with GNN in Ultra-Dense D2D mmWave Networks[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Fathy M, Fei Z, Guo J, et al. Robust Optimization for Multi-STAR-IRS-Aided Multi-Cell Communication System Based on GNN-Enhanced Partially Distributed Multi-Agent[J]. IEEE Transactions on Vehicular Technology, 2025. Link
Han H, Lu Y, Song Z, et al. SWIPTNet: a Unified Deep Learning Framework for SWIPT Based on GNN and Transfer Learning[J]. IEEE Transactions on Mobile Computing, 2025. Link
Awan K A, Din I U, Almogren A, et al. TrustAware-GNN: Graph Neural Network-Based Trust Management for IoT Anomaly Detection[J]. IEEE Internet of Things Journal, 2025. Link
Mir M, Trik M. A novel intrusion detection framework for industrial IoT: GCN-GRU architecture optimized with ant colony optimization[J]. Computers and Electrical Engineering, 2025, 126: 110541. Link
Dai Y, Lyu L, Cheng N, et al. A Survey of Graph-Based Resource Management in Wireless Networks-Part I: Optimization Approaches[J]. IEEE Transactions on Cognitive Communications and Networking, 2024. Link
Dai Y, Lyu L, Cheng N, et al. A survey of graph-based resource management in wireless networks-part ii: Learning approaches[J]. IEEE Transactions on Cognitive Communications and Networking, 2024. Link
Shi Y, Zhang H, Shi L, et al. Autonomous cyber defense for AIoT using Graph Attention Network-Enhanced reinforcement learning[J]. Computer Communications, 2025, 241: 108265. Link
Dai Y, Rao X, Gu B, et al. Graph Learning-Based Multi-User Multi-Task Offloading in Wireless Computing Power Networks[J]. IEEE Internet of Things Journal, 2025. Link
Feng X, Mohammed E L H, Xu C, et al. Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink[J]. IEEE Open Journal of Vehicular Technology, 2025. Link
Shao M, Zhang R, Yang L. Graph Neural Network‐Based Task Offloading and Resource Allocation for Scalable Vehicular Networks[J]. IET Communications, 2025, 19(1): e70064. Link
Verma N K, Naik K J. Graph Reinforcement and Asynchronous Federated Learning based task offloading in fog computing[J]. Physical Communication, 2025: 102776. Link
Liao L, Tao M, Dong A, et al. Graph-Convolutional-Network-Enabled Task Offloading for Industrial Image Recognition in Digital Twin Edge Networks[J]. IEEE Internet of Things Journal, 2025. Link
Liang L, Tian Z, Huang H, et al. Heterogeneous Secure Transmissions in IRS-Assisted NOMA Communications: CO-GNN Approach[J]. IEEE Internet of Things Journal, 2025. Link
Foka G O D, Stanica R, Naboulsi D. HGC-LSTM: A graph neural network-based model for HO forecasting in mobile networks[J]. Computer Networks, 2025: 111497. Link
Wu J, Zhu Z L. Intelligent routing optimization for SDN based on PPO and GNN[J]. Journal of Network and Computer Applications, 2025: 104249. Link
Li Y, Zhou Z, Sun P, et al. KeAD: Knowledge-enhanced Graph Attention Network for Accurate Anomaly Detection[J]. IEEE Transactions on Services Computing, 2025. Link
Liu S, Yang C, Han S. Learning Wideband User Scheduling and Hybrid Precoding with Graph Neural Networks[J]. IEEE Transactions on Wireless Communications, 2025. Link Code
Liu X, Wang X, Fan B, et al. Multi-Agent Primal Dual DDPG based Reactive Power Optimization of Active Distribution Networks via Graph Reinforcement Learning[J]. IEEE Internet of Things Journal, 2025. Link
Dong Y, Zhang M, Huo Y, et al. Multi-View Graph Neural Networks for Spectrum Sensing in Cognitive Radio[J]. IEEE Internet of Things Journal, 2025. Link
Gao R, Zhang B, Zhang Q, et al. Toward the Age in Forwarding: A Deep Reinforcement Learning Enabled Routing Mechanism for Large-Scale Satellite Networks via Spatial–Temporal Graph Neural Networks[J]. IEEE Transactions on Networking, 2025. Link
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Conference

Alkadamani M, Yanikomeroglu H, Ghasemi A. A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 2994-3000. Link
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Ren Y, Ma X, Xin Y, et al. Cellular Network Traffic Prediction with Graph Neural Networks[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 5260-5265. Link
Cai Y, Cheng P, Chen Z, et al. Deep Graph Fusion Reinforcement Learning for Task Offloading in Space-Air-Ground Integrated Networks[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 2462-2467. Link
Yan M, Guo H, Xiong R, et al. Deep Graph Reinforcement Learning-Enabled Computation Offloading for UAV-Assisted Vehicular Edge Computing Networks[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 2132-2137. Link
He Z, Sun Y, Zhang B, et al. Diffusion Model-based Graph Reinforcement Learning for Task Offloading in Computation Reuse-Enabled Industrial Edge Networks[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 1129-1134. Link
Kokkinakis P, Soumplis P, Varvarigos E. Distributed Task Scheduling in Collaborative Edge Infrastructures with Graph Reinforcement Learning[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 338-343. Link
Lyu Q, Vu M. Efficient Edge-update GNN for Beamforming and Power Allocation in Wireless Networks[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 636-641. Link
Li H, Lu Y, Dai Y, et al. Efficient Radio Resource Management in C-V2X with Federated Graph Neural Networks[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 4463-4468. Link
Gong Y, Wang J, Liu X, et al. Federated Graph Learning Aided Task Scheduling Mechanism with Reduced Transmission Latency for Satellite-Ground Integrated Networks[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 847-852. Link
Gowtham V, Basaran O T, Dandekar A, et al. GNN-ATIVE: An AI-native, Graph-based Orchestrator for Next-Generation Wireless Networks[C]//2025 IEEE Global Communications Conference (GLOBECOM). IEEE, 2025. Link
Bakar R A, Paolucci F, Cugini F, et al. IDS-NGNN: A SmartNIC-based Intrusion Detection System Based on Reduce and Merge Nested Graph Neural Networks[C]//GLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025: 2657-2662. Link
Tasdighi A, Yousefi M. Adaptive Learned Message Passing Algorithms for Decoding Error Correcting Codes[C]//European WIRELESS 2025; 30th European Wireless Conference. VDE, 2025: 115-120. Link
Zhang L, Zhao H, Wang Q, et al. An Automatic Modulation Classification Algorithm Based on Adaptive Visibility Graph and GNN Incorporating GRU[C]//2025 Seventeenth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2025: 1-6. Link
Chen Y, Dai Y, Lyu L. Edge-Aware Graphormer for Downlink Covert Communication Optimization in Aerial Cell-Free Networks[C]//2025 Seventeenth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2025: 1-6. Link
Zhang J, Xu L, Li R, et al. HetRGNN-MARL: A Graph-Enhanced Multi-Agent Reinforcement Learning Approach for Resource Allocation and Trajectory Optimization in UAV-Assisted ISAC Networks[C]//2025 Seventeenth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2025: 1-6. Link
Xiong J, Tan J, Liu X, et al. Joint Mode Selection and Resource Allocation for D2D Communication Systems with Graph Neural Networks[C]//2025 Seventeenth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2025: 1-6. Link
Wang C, Liu Y, Song R, et al. Joint Optimization of Routing and Power Control in UAV Networks Via Graph Reinforcement Learning[C]//2025 Seventeenth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2025: 1-6. Link
Zhang J, Huang H, Shi C, et al. Spatiotemporal-Aware Resilient Routing Algorithm Based on Graph Attention Double DQN[C]//2025 Seventeenth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2025: 1-6. Link
Che D, Li Y, Gong Y. STG-foF2: Spatio-Temporal Graph Networks for foF2 Prediction in High-Frequency Communication[C]//2025 IEEE International Performance, Computing, and Communications Conference (IPCCC). IEEE, 2025: 1-6. Link
Yi L, Luo J, Ran Y. Transformer and Multi-Scale GAT-Based DRL for SFC Deployment in LEO Satellite Networks[C]//2025 Seventeenth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2025: 1-7. Link
Gkelias A, Leung K K, Baker P J, et al. GNN-Enabled Reinforcement Learning for Robust Task Admission and Routing in IoBT Environments[C]//MILCOM 2025-2025 IEEE Military Communications Conference (MILCOM). IEEE, 2025: 1-6. Link
Zhao W, Lu Y, Zhong Z, et al. GNN-Based Clustered Federated Learning for Hierarchical Vehicular Networks[C]//ICC 2025-IEEE International Conference on Communications. IEEE, 2025: 3449-3454. Link
Simhon Z, Weiss M, Hajaj C, et al. A New D-MAGIC: Dynamic Model for Cybersecurity Attack Detection Using GNNs into Clustering[C]//ICC 2025-IEEE International Conference on Communications. IEEE, 2025: 6771-6776. Link
Serhane O, Moungla H. GCN-ATO: GCN-Assisted Task Offloading for Multi-Access Edge Computing in Hetnets[C]//ICC 2025-IEEE International Conference on Communications. IEEE, 2025: 2051-2057. Link
Huang Y, Jiang Y, Zheng F C, et al. GNN-Based RSMA for Energy Efficiency in Hardware-Impaired Cell-Free URLLC Systems[C]//ICC 2025-IEEE International Conference on Communications. IEEE, 2025: 3551-3556. Link
Semiari O, Nikopour H, Talwar S. Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks[C]. 2025 IEEE International Conference on Communications Workshops (ICC Workshops), 2025. Link
Meng C, Zhang H, Yin G, et al. Implicit Sign-Enhanced Stance Detection Model with Semantic Graph Attention Network[C]//ICC 2025-IEEE International Conference on Communications. IEEE, 2025: 7133-7139. Link
Rahmani M, Chu Y, Norouzi S, et al. Lightweight Graph Neural Networks for Enhanced 5G NR Channel Estimation[C]. 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2025. Link
Fan T, Lu X, Zhang F, et al. OnionGraph: A Graph Neural Network Framework for Tor-based Malware Traffic Detection and Classification[C]//ICC 2025-IEEE International Conference on Communications. IEEE, 2025: 5615-5620. Link Code
Racedo S, Jaumard B, Delgado O, et al. QoS-Aware Dynamic CU Selection in O-RAN with Graph-Based Reinforcement Learning[C]. 2025 21st International Conference on Network and Service Management (CNSM), 2025. Link
Latif-Martinez H, Vanerio J M, Casas-Hernandez P, et al. TSGFM–Graph Neural Networks for Zero-Shot Time Series Forecasting in Network Monitoring[C]//21st International Conference on Network and Service Management, CNSM 2025. 2025: 1-9. Link Code
Pereira-Ruisánchez D, Joham M, Fresnedo Ó, et al. A GNN-Based Approach to AP Cooperation Cluster Formation in Cell-Free Massive MIMO[C]//2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring). IEEE, 2025: 01-07. Link
Hlophe M C, Maharaj B T. A GNN-Based Discrete Choice Experiment for Heterogeneous Computational Task Offloading[C]//2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring). IEEE, 2025: 1-5. Link
Wang R, Dong M, Zhang Y, et al. A Graph Neural Networks Approach to Heterogeneous Link Switching in SATIN[C]//2025 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2025: 1-6. Link
Zhang S, Liu T, Chen J, et al. Dynamic IoT Resource Allocation Using Graph Reinforcement Learning with Hypergraph Convolutions[C]//2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring). IEEE, 2025: 1-5. Link
Li K, Zheng J, Ni W, et al. Explainable Graph Attention-Driven Fairness Manipulation for Federated Learning in EdgeIoT[C]//2025 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2025: 1-6. Link
Chen J, Wang F, Wang X. GNN Based Beamforming Design for RIS Assisted Near-Field ISAC Systems[C]//2025 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2025: 1-6. Link
Yi Y, Yi X, Wang W, et al. GNNSIC: A New Approach to Soft Interference Cancellation with Graph Neural Networks[C]//2025 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2025: 1-6. Link
Lei Y, Xiao Q, He Y, et al. Graph Neural Network for Location-and Orientation-Assisted mmWave Beam Alignment[C]. 2025 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2025: 1-6. Link
Liu H, Xie Z, Liu J, et al. Heterogeneous Graph Neural Network for Beamforming Design in Cell-Free Massive MIMO with Underlaid D2D Maritime Systems[C]//2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring). IEEE, 2025: 1-6. Link
Peng J, Cai Y, Yuan J, et al. Joint Optimization of 3D Trajectory and Resource Allocation in Multi-UAV Systems via Graph Neural Networks[C]//2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring). IEEE, 2025: 1-5. Link
Zhang B, Mao C, Gao P, et al. Joint Resource Allocation in LEO Satellite System: A Hypergraph Neural Network Enhanced Reinforcement Learning Approach[C]//2025 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2025: 1-6. Link
Zhang M, Wang Y, Meng J, et al. RGMSC: Relational Graph Attention Assisted Multi-Agent Soft Actor-Critic for Task Allocation in Heterogeneous Computing Power Networks[C]//2025 25th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2025: 1-6. Link
Cui Y, Tang R, He J, et al. Security-Aware Routing Optimization in TSNs via GCN-based Deep Reinforcement Learning[C]//2025 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2025: 1-6. Link
Wang Q, Fu Y, Tian M, et al. ST-GAUTrans: Spatial-Temporal Gated Attention Transformer for Efficient Network Traffic Prediction[C]//2025 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2025: 1-6. Link
Qi H, Wu M, Zhao M. Trajectory Optimization for Multi-UAV-Enabled Wireless-Powered MEC with Graph-Based MADRL[C]//2025 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2025: 1-6. Link
Zhang J, Guo S, Xiao S, et al. A Gaussian Temporal Based Graph Convolutional Network for Traffic Operation Flow Forecasting[C]//2025 34th International Conference on Computer Communications and Networks (ICCCN). IEEE, 2025: 1-6. Link
Osada S, Shinomiya N. An Approximate Solution Using Graph Convolutional Network for a Load Balancing Problem in Communication Networks[C]//2025 34th International Conference on Computer Communications and Networks (ICCCN). IEEE, 2025: 1-5. Link
Zou Y, Brinton C G, Tripathi V. Communication-Efficient Cooperative Localization: A Graph Neural Network Approach[C]. 2025 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). Link
Guo T, Xie K, Li W. HAtt3EGNN: An Unsupervised Power Allocation Method for Cell-Free Massive MIMO[C]//2025 34th International Conference on Computer Communications and Networks (ICCCN). IEEE, 2025: 1-6. Link
Rupanagudi M, Ishigaki G. Link-level Blocking Prediction for Dynamic Network Slicing using Graph Neural Networks[C]//2025 34th International Conference on Computer Communications and Networks (ICCCN). IEEE, 2025: 1-6. Link
Chen S, Xiao X, Hu G, et al. Relational Graph Attention Network Combined with Burst Position Encoding for Traffic Classification[C]//2025 IEEE/ACM 33rd International Symposium on Quality of Service (IWQoS). IEEE, 2025: 1-2. Link
Lamb I P, Duarte P A P R, Marques J, et al. Distributed Graph Neural Networks in Programmable Data Planes[C]//NOMS 2025-2025 IEEE Network Operations and Management Symposium. IEEE, 2025: 01-09. Link
Li Z, Ma J, Qiu M. GAT-Enhanced DRL Decision Framework for Joint Routing and Scheduling Under Vehicular Time-Sensitive Networking[C]//International Conference on Wireless Artificial Intelligent Computing Systems and Applications. Singapore: Springer Nature Singapore, 2025: 1-12. Link
Fritz T, Schwankner A, Wissing J H, et al. Granomaly: A Framework for Anomaly Detection in 5G Core Network Control Plane Traffic with Temporal Graph Neural Networks[C]//NOMS 2025-2025 IEEE Network Operations and Management Symposium. IEEE, 2025: 1-6. Link
Kumar D R, Antón-Haro C, Mestre X. Graph Neural Network Architecture for MIMO Channel Estimation[C]//2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC). IEEE, 2025: 1-2. Link
Liu Y, Deng G, Zhou H, et al. AP Selection in Uplink Cell-Free Massive MIMO: An Unsupervised Heterogeneous GNN Approach[C]//2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025: 1-6. Link
Yang W, Xie Z, Chen J, et al. Diverse-Feature Spatial-Temporal Graph Attention Network for Long-Term Interference Prediction[C]//2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025: 1-6. Link
Hu K, Du H. DNS-GraphSentry: A Robust Graph Neural Network Approach for Automated Misconfiguration Diagnosis[C]//Proceedings of the 9th Asia-Pacific Workshop on Networking. 2025: 256-257. Link
Singhal C, Hadjadj-Aoul Y. Energy-Efficient Dynamic Training and Inference for GNN-Based Network Modeling[C]//2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025: 1-6. Link
Sun X, Xiong R, Shen D, et al. Enhancing Network Traffic Prediction by Integrating Graph Transformer with a Temporal Model[C]//Proceedings of the 9th Asia-Pacific Workshop on Networking. 2025: 150-156. Link
Mehregan N, De Grande R E. GCN-Based Throughput-Oriented Handover Management in Dense 5G Vehicular Networks[C]. IEEE DCOSS-IoT 2025. Link
Zhou H, Gong X, Tsinos C G, et al. GNN-enabled deep unfolding for precoding in massive MIMO LEO satellite communications[C]//2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025: 1-6. Link
Wang X, Guo B, Liang H, et al. Interference Coordination Leveraging Weighted Graph Convolutional Network[C]//2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025: 1-6. Link
Li X, Li H, Li X, et al. RadioGAT: A Model-Based Learning Framework for Radio Map Reconstruction via Graph Attention Networks[C]//2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025: 1-6. Link
Zhu Z, Wang Y, Wu K, et al. A Novel Traffic Prediction Method for Dynamic Satellite Networks Based on Graph Attention Networks[C]//2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025: 1-7. Link

Preprint

Camargo R G, Wang Z, NaderiAlizadeh N, et al. Wireless Link Scheduling with State-Augmented Graph Neural Networks[J]. arXiv preprint arXiv:2505.07598, 2025. Link Code
Clausius J, Rübenacke M, Tandler D, et al. Joint Detection and Decoding: A Graph Neural Network Approach[J]. arXiv preprint arXiv:2501.08871, 2025. Link
Bahara A A M, Ferrahia K S, Messai M L, et al. CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks[J]. arXiv preprint arXiv:2501.02981, 2025. Link Code

2024

Journal

Wang D, Bai Y, Song B. A knowledge graph-based reinforcement learning approach for cooperative caching in MEC-enabled heterogeneous networks[J]. Digital Communications and Networks, 2024. Link
Du Y, Qi N, Li X, et al. Distributed multi-UAV trajectory planning for downlink transmission: A GNN-enhanced DRL approach[J]. IEEE Wireless Communications Letters, 2024. Link
Guo X, Xu Y, Sun J, et al. Dynamic Graph Temporal-Frequency Dual-Channel Network for Multi-band Spectrum Prediction[J]. IEEE Communications Letters, 2024. Link
Khan S, Avgeris M, Gascon-Samson J, et al. EMDTORA: Energy-Aware Multi-User Dependent Task Offloading and Resource Allocation in MEC Using Graph-Enabled DRL[J]. IEEE Transactions on Green Communications and Networking, 2024. Link
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Conference

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Li C, Lai P Y, Zhou Y X, et al. Temporal Hierarchical Graph Attention Network for Traffic Prediction with Prompt Learning[C]//2024 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2024: 1460-1465. Link
Chen Z J, Peng L, Ho P H. A Novel GNN-based Decoding Scheme for Sparse Code Multiple Access (SCMA)[C]//2024 International Conference on Networking and Network Applications (NaNA). IEEE, 2024: 160-165. Link
He Y, Gao J, Fan M, et al. A&D Graph-Based Graph Neural Network Intrusion Detection for In-Vehicle Controller Area Network[C]//2024 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2024: 1281-1286. Link
Xu Z, Guan Z, Tian M. CSR-PTDNG: A Graph Construction Method for DNS Tunneling Domain Names Detection[C]//2024 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2024: 1-7. Link Data
Zhu Y, Liu G, Li N, et al. DT-GCN Based Digital Twin for 6G Self-Intelligent Network[C]//2024 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2024: 299-304. Link
Su X, Li M, Li Q, et al. Energy Consumption Prediction for Manufacturing in Industrial IoT Based on Heterogeneous GNN[C]//2024 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2024: 627-632. Link
Michon A, Poulliat C, Cipriano A M. Graph Neural Networks versus Gated Recurrent Units Only for approximate bayesian MU-MIMO detectors[C]//2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2024: 561-565. Link
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Preprint

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2023

Journal

Bellili A, Kara N. A graphical deep learning technique-based VNF dependencies for multi resource requirements prediction in virtualized environments[J]. Computing, 2023: 1-25. Link
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Asheralieva A, Niyato D. Secure and efficient coded multi-access edge computing with generalized graph neural networks[J]. IEEE Transactions on Mobile Computing, 2023. Link
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Asheralieva A, Niyato D, Miyanaga Y. Efficient Dynamic Distributed Resource Slicing in 6G Multi-Access Edge Computing Networks with Online ADMM and Message Passing Graph Neural Networks[J]. IEEE Transactions on Mobile Computing, 2023. Link
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Zhang Z, Tao M, Liu Y F. Learning to Beamform in Joint Multicast and Unicast Transmission with Imperfect CSI[J]. IEEE Transactions on Communications, 2023. Link
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Li Y, Lu Y, Zhang R, et al. Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-based Approach[J]. IEEE Wireless Communications Letters, 2023. Link Data
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Conference

Wang X, Zhang Y. Network Attack Identification and Analysis Based on Graph Convolutional Neural Network[C]//2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2023: 1443-1448. Link
Friji H, Mavromatis I, Sanchez-Mompo A, et al. Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study[C]//2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2023: 620-627. Link
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Tian T, Gong Y, Jiang B, et al. Insider Threat Detection Based On Heterogeneous Graph Neural Network[C]//2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2023: 628-635. Link
Bellaj B, Ouaddah A, Mezrioui A, et al. Gbtrust: Leveraging edge attention in graph neural networks for trust management in p2p networks[C]//2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2023: 1272-1278. Link
Chen S, Lin D, Xie Z, et al. Temporal-Gated Graph Neural Network with Graph Sampling for Multi-step Attack Detection[C]//2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2023: 1266-1271. Link
Gowtham V, Schreiner F, Corici M I, et al. Intent-based Networking for QoS-aware Cloud and Transport Network Management based on Graph Neural Networks[C]//2023 IEEE Future Networks World Forum (FNWF). IEEE, 2023: 1-7. Link
Zhang G, Song J, Hu Y, et al. Fine-grained Task Scheduling Based on Graph Neural Network and Federated Learning in Vehicle Edge Computing[C]//2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2023: 2467-2474. Link
Meng Q, Luo Z, Zheng X, et al. Hierarchical Collaborative Resource Scheduling in Industrial Internet of Things based on Graph Neural Networks and Deep Reinforcement Learning[C]//2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2023: 2647-2654. Link
Xu T, Tan X, Zhang Z, et al. MIMO Detection Based on Graph Neural Network with Belief Propagation[C]//2023 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2023: 1095-1100. Link
Lin S, Lee M, Chen Q, et al. OverGNN Assisted Power Allocation for Heterogeneous Ultra-Dense Networks[C]//2023 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2023: 152-157. Link
Graham J, Medico A, Dividino R, et al. Edge Clustering and Communication Efficiency with GNNs in Internet of Vehicles[C]//International Conference on Wireless Intelligent and Distributed Environment for Communication. Cham: Springer Nature Switzerland, 2023: 47-64. Link Code
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Guo J, Yang C. A Size-Generalizable GNN for Learning Precoding[C]//2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall). IEEE, 2023: 1-6. Link
Saheed K, Henna S. Heterogeneous Graph Transformer for Advanced Persistent Threat Classification in Wireless Networks[C]//2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2023: 15-20. Link
Liao X, Sun H, Wang J, et al. Solving Distributed ACL Policies Under Complex Constraints with Graph Neural Networks[C]//2023 IEEE 31st International Conference on Network Protocols (ICNP). IEEE, 2023: 1-12. Link
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Mehrabian A, Bahrami S, Wong V W S. A dynamic Bernstein graph recurrent network for wireless cellular traffic prediction[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 3842-3847. Link
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He P, Tang Y, Xu F, et al. Cellular Network Optimization Using Unfolding-Based Graph Neural Networks[C]//2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2023: 551-555. Link
Gao Z, Shao Y, Gündüz D, et al. Decentralized channel management in WLANs with graph neural networks[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 3072-3077. Link
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Sun H, Wu Q, She H, et al. DGL-Routing: One Routing Optimization Model Based on Deep Graph Learning[C]//2023 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2023: 891-896. Link
Friji H, Olivereau A, Sarkiss M. Efficient Network Representation for GNN-Based Intrusion Detection[C]//International Conference on Applied Cryptography and Network Security. Cham: Springer Nature Switzerland, 2023: 532-554. Link
Li X, Xiao Y, Liu S, et al. GAPPO-A Graph Attention Reinforcement Learning based Robust Routing Algorithm[C]//2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2023: 1-7. Link
Hao X, Yeoh P L, Liu Y, et al. Graph Neural Network-Based Bandwidth Allocation for Secure Wireless Communications[C]//2023 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2023: 332-337. Link
Tian Z, Zhang Z, Jin R. Graph-attention-Based decentralized edge learning for Non-IID data[C]//2023 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2023: 110-115. Link
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Wang X, Cheng N, Fu L, et al. Scalable resource management for dynamic mec: An unsupervised link-output graph neural network approach[C]//2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2023: 1-6. Link Code
Du Q, Duan Y, Tao X, et al. Sketch Graph Representation for Multimedia Computational Communications: A Learning-Based Method[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 553-558. Link
Lai J, Yang F, Ying C, et al. Spatial-Temporal Correlation-Based Prediction Model for Node and Link Residual Resources in NFV Networks[C]//2023 International Conference on Networking and Network Applications (NaNA). IEEE, 2023: 256-261. Link
Hou J, Nayak A. Spatial-Temporal Graph Attention-Based Multi-Agent Reinforcement Learning in Cooperative Edge Caching[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 3078-3083. Link
Perdomo J, Gutierrez-Estevez M A, Zhou C, et al. Towards a Wireless Network Digital Twin Model: A Heterogeneous Graph Neural Network Approach[C]//2023 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2023: 29-35. Link
Tan Y, Wang J, Liu J. Virtual Network Embedding with Changeable Action Space: An Approach Based on Graph Neural Network and Reinforcement Learning[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 3646-3651. Link
Ye M, Liang X, Pan C, et al. Channel Estimation for mmWave Massive MIMO Systems Using Graph Neural Networks[C]//2023 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2023: 1-5. Link
Kim D, Song S. Power Allocation for Device-to-Device Interference Channel Using Truncated Graph Transformers[C]//2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). IEEE, 2023: 109-114. Link Code
Theodoropoulos T, Makris A, Psomakelis E, et al. GNOSIS: Proactive Image Placement Using Graph Neural Networks & Deep Reinforcement Learning[C]//2023 IEEE 16th International Conference on Cloud Computing (CLOUD). IEEE, 2023: 120-128. Link
Zhang L, Tan L, Shi H, et al. Malicious Traffic Classification for IoT based on Graph Attention Network and Long Short-Term Memory Network[C]//2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2023: 54-59. Link
Li L, Chen H, Yeom S, et al. Network State Prediction with Attention-Based Graph Convolutional Network[C]//2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2023: 215-218. Link
El Kamel A. A GNN-Based Rate Limiting Framework for DDoS Attack Mitigation in Multi-Controller SDN[C]//2023 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2023: 893-896. Link
Guo Y, Wu Q, She H. A Routing Optimization Policy Using Graph Convolution Deep Reinforcement Learning[C]//2023 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2023: 1-6. Link
Bian Y, Sun Y, Zhai M, et al. Dependency-Aware Task Scheduling and Offloading Scheme based on Graph Neural Network For MEC-Assisted Network[C]//2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2023: 1-6. Link
Carletti V, Foggia P, Vento M. Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks[C]//International Workshop on Graph-Based Representations in Pattern Recognition. Cham: Springer Nature Switzerland, 2023: 127-138. Link
Shen Z, Zhao X, Zou J. GinApp: An Inductive Graph Learning based Framework for Mobile Application Usage Prediction[C]//IEEE INFOCOM 2023-IEEE Conference on Computer Communications. IEEE, 2023: 1-10. Link
Li Y, Zhou Z, Li R, et al. GoGDDoS: A Multi-Classifier for DDoS Attacks Using Graph Neural Networks[C]//2023 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2023: 1462-1467. Link
Liu J, Tang F, Chen L, et al. EAGLE: Heterogeneous GNN-based Network Performance Analysis[C]//2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS). IEEE, 2023: 1-10. Link
Li K, Ni W, Yuan X, et al. Exploring Graph Neural Networks for Joint Cruise Control and Task Offloading in UAV-enabled Mobile Edge Computing[C]//2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). IEEE, 2023: 1-6. Link
Rathore H, Griffith H. GNN-RL: Dynamic Reward Mechanism for Connected Vehicle Security using Graph Neural Networks and Reinforcement Learning[C]//2023 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2023: 201-203. Link
Zhao B, Yang C. Learning Beamforming for RIS-aided Systems with Permutation Equivariant Graph Neural Networks[C]//2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). IEEE, 2023: 1-5. Link
Wei C, Xie G, Diao Z. Network Flow Based IoT Anomaly Detection Using Graph Neural Network[C]//International Conference on Knowledge Science, Engineering and Management. Cham: Springer Nature Switzerland, 2023: 432-445. Link
Xie Y, Niu G, Pun M O, et al. Online Bipartite Matching for HAP Access in Space-Air-Ground Integrated Networks using Graph Neural Network-Enhanced Reinforcement Learning[C]. ICC Workshops, 2023. Link
Saleem A, Raeiszadeh M, Ebrahimzadeh A, et al. A Deep Learning Approach for Root Cause Analysis in Real-Time IIoT Edge Networks[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-5. Link
Rivera J J D, Sarwar M M S, Alam S, et al. An Intent-Based Networking mechanism: A study case for efficient path selection using Graph Neural Networks[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-6. Link
Aykurt K, Kellerer W. Autonomous Network Management in Multi-Domain 6G Networks based on Graph Neural Networks[C]//9th IEEE International Conference on Network Softwarization (NetSoft), PhD Symposium. 2023. Link
Li J, Zhou F, Li W, et al. Componentized Task Scheduling in Cloud-Edge Cooperative Scenarios Based on GNN-enhanced DRL[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-4. Link
Moayyedi A, Ahmadi M, Salahuddin M A, et al. Generalizable GNN-based 5G RAN/MEC Slicing and Admission Control in Metropolitan Networks[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-9. Link
Fawaz H, Houidi O, Zeghlache D, et al. Graph Convolutional Reinforcement Learning for Load Balancing and Smart Queuing[C]//2023 IFIP Networking Conference (IFIP Networking). IEEE, 2023: 1-9. Link
Zhang L, Yin B, Wang Q, et al. Graph Neural Network-based Delay Prediction Model Enhanced by Network Calculus[C]//2023 IFIP Networking Conference (IFIP Networking). IEEE, 2023: 1-7. Link
Chawla A, Bosneag A M, Dalgkitsis A. Graph-based Interpretable Anomaly Detection Framework for Network Slice Management in Beyond 5G Networks[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-6. Link
Bouton M, Jeong J, Outes J, et al. Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-7. Link
Barsellotti L, De Marinis L, Cugini F, et al. FTG-Net: Hierarchical Flow-to-Traffic Graph Neural Network for DDoS Attack Detection[C]//2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR). IEEE, 2023: 173-178. Link
Peng Y, Guo Y, Hao R, et al. Network Traffic Prediction with Attention-based Spatial-Temporal Graph Network[C]//2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR). IEEE, 2023: 153-158. Link
Chen Y, Cao H, Zhou Y, et al. A GCN-GRU Based End-to-End LEO Satellite Network Dynamic Topology Prediction Method[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Pang B, Fu Y, Ren S, et al. A Multi-Modal Approach For Context-Aware Network Traffic Classification[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5. Link
Zhao Z, Radojicic B, Verma G, et al. Delay-Aware Backpressure Routing Using Graph Neural Networks[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5. Link Code
Abouamer M S, Mitran P. Flexible Resource Allocation in IRS-assisted Systems using Hypernetworks[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Lu X, Zhang X, Lio P. GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network[C]//Companion Proceedings of the ACM Web Conference 2023. 2023: 127-131. Link
He H, Kosasih A, Yu X, et al. GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Mo C T, Chen J H, Liao W. Graph Convolutional Network Augmented Deep Reinforcement Learning for Dependent Task Offloading in Mobile Edge Computing[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Wang G, Cheng P, Chen Z, et al. Inverse Reinforcement Learning with Graph Neural Networks for IoT Resource Allocation[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5. Link
Xu X, Chen H, Simsarian J E, et al. Optical Network Diagnostics Using Graph Neural Networks and Natural Language Processing[C]//Optical Fiber Communication Conference. Optica Publishing Group, 2023: M3G. 5. Link
Chen X, Chuai G, Zhang K, et al. Spatial-temporal Cellular Traffic Prediction: A Novel Method Based on Causality and Graph Attention Network[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Shrestha S, Fu X, Hong M. Towards efficient and optimal joint beamforming and antenna selection: A machine learning approach[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5. Link Code
Xie Z, Xu H, Chen W, et al. Unsupervised Anomaly Detection on Microservice Traces through Graph VAE[C]//Proceedings of the ACM Web Conference 2023. 2023: 2874-2884. Link Code
Liu M, Huang C, Di Renzo M, et al. Cooperative Beamforming and RISs Association for Multi-RISs Aided Multi-Users MmWave MIMO Systems through Graph Neural Networks[C]. ICC, 2023. Link
Zhang H, Yu L, Xiao X, et al. TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification[C]//Proceedings of the ACM Web Conference 2023. 2023: 2066-2075. Link
Abode D, Adeogun R, Berardinelli G. Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link Code
Kisanga P, Woungang I, Traore I, et al. Network Anomaly Detection Using a Graph Neural Network[C]//2023 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2023: 61-65. Link
Ge Z, Hou J, Nayak A. Forecasting SDN End-to-End Latency Using Graph Neural Network[C]//2023 International Conference on Information Networking (ICOIN). IEEE, 2023: 293-298. Link
Perera T, Alapallu S, Fang Y, et al. Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link Code

Preprint

Hao X, She C, Yeoh P L, et al. Hybrid-Task Meta-Learning: A Graph Neural Network Approach for Scalable and Transferable Bandwidth Allocation[J]. arXiv preprint arXiv:2401.10253, 2023. Link
Abode D, Adeogun R, Salaün L, et al. Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks[J]. arXiv preprint arXiv:2401.00950, 2023. Link
Mourya S, Reddy P, Amuru S D, et al. Spectral Temporal Graph Neural Network for massive MIMO CSI Prediction[J]. arXiv preprint arXiv:2312.02159, 2023. Link Code
Zhao Z, Perazzone J, Verma G, et al. Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks[J]. arXiv preprint arXiv:2312.02471, 2023. Link
Li X, Chen M, Liu Y, et al. Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks[J]. arXiv preprint arXiv:2302.02878, 2023. Link
Güemes-Palau C, Galmés M F, Cabellos-Aparicio A, et al. Building a Graph-based Deep Learning network model from captured traffic traces[J]. arXiv preprint arXiv:2310.11889, 2023. Link
Zhu J, Li R, Chen X, et al. Semantics-enhanced Temporal Graph Networks for Content Caching and Energy Saving[J]. arXiv preprint arXiv:2301.12355, 2023. Link
Skocaj M, Rivera P E I, Verdone R, et al. Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning[J]. arXiv preprint arXiv:2301.11903, 2023. Link
Das S, NaderiAlizadeh N, Ribeiro A. Learning State-Augmented Policies for Information Routing in Communication Networks[J]. arXiv preprint arXiv:2310.00248, 2023. Link
Li J, Ye M, Huang L, et al. An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning[J]. arXiv preprint arXiv:2305.10441, 2023. Link
Kang C, Woo J, Hong J W K. Bitcoin Double-Spending Attack Detection using Graph Neural Network[J]. arXiv preprint arXiv:2304.13935, 2023. Link
Almasan P, Suárez-Varela J, Lutu A, et al. Enhancing 5G Radio Planning with Graph Representations and Deep Learning[J]. arXiv preprint arXiv:2309.03603, 2023. Link
Zhou H, Kannan R, Swami A, et al. HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN[J]. arXiv preprint arXiv:2304.10013, 2023. Link Code
Chen Y, Shi Z, Wang H, et al. Graph Convolutional Network Enabled Power-Constrained HARQ Strategy for URLLC[J]. arXiv preprint arXiv:2308.02131, 2023. Link
Bernárdez G, Suárez-Varela J, Shi X, et al. GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters[J]. arXiv preprint arXiv:2308.04905, 2023. Link
Zhao M, Fink O. Dynamic Graph Attention for Anomaly Detection in Heterogeneous Sensor Networks[J]. arXiv preprint arXiv:2307.03761, 2023. Link
Liu Z, Huang L, Gao Z, et al. GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds[J]. arXiv preprint arXiv:2307.00777, 2023. Link
Yang H, Cheng N, Sun R, et al. Knowledge-Driven Resource Allocation for D2D Networks: A WMMSE Unrolled Graph Neural Network Approach[J]. arXiv preprint arXiv:2307.05882, 2023. Link
Ma M. Multi-Task Offloading via Graph Neural Networks in Heterogeneous Multi-access Edge Computing[J]. arXiv preprint arXiv:2306.10232, 2023. Link
Chowdhury A, Verma G, Swami A, et al. Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks[J]. arXiv preprint arXiv:2304.00446, 2023. Link Code
Krishnan S, Park J, Sagar S, et al. Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks[J]. arXiv preprint arXiv:2306.01143, 2023. Link
Mourya S, Reddy P, Amuru S D, et al. Graph Neural Networks-Based User Pairing in Wireless Communication Systems[J]. arXiv preprint arXiv:2306.00717, 2023. Link
Li B, Perazzone J, Swami A, et al. Learning to Transmit with Provable Guarantees in Wireless Federated Learning[J]. arXiv preprint arXiv:2304.09329, 2023. Link Code
Chen L, Zhu J, Evans J. Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks[J]. arXiv preprint arXiv:2305.12639, 2023. Link
Li J, Ye M, Huang L, et al. An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning[J]. arXiv preprint arXiv:2305.10441, 2023. Link Code
Du J, Luo T. Digital Twin Graph: Automated Domain-Agnostic Construction, Fusion, and Simulation of IoT-Enabled World[J]. arXiv preprint arXiv:2304.10018, 2023. Link
Chen L, Zhu J, Evans J. Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes[J]. arXiv preprint arXiv:2303.16113, 2023. Link
Zhou H, Kannan R, Swami A, et al. HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN[J]. arXiv preprint arXiv:2304.10013, 2023. Link Code
Jin Y, Daoutis M, Girdzijauskas S, et al. Learning Cellular Coverage from Real Network Configurations using GNNs[J]. arXiv preprint arXiv:2304.10328, 2023. Link Code
Paul R, Cohen K, Kedar G. Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach[J]. arXiv preprint arXiv:2303.15544, 2023. Link
Zhu J, Li R, Chen X, et al. Semantics-enhanced Temporal Graph Networks for Content Caching and Energy Saving[J]. arXiv preprint arXiv:2301.12355, 2023. Link
Xiao B, Li R, Wang F, et al. Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles[J]. arXiv preprint arXiv:2303.13213, 2023. Link
He H, Yu X, Zhang J, et al. Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems[J]. arXiv preprint arXiv:2302.06896, 2023. Link

2022

Journal

Li W, Wang H, Zhang X, et al. Security service function chain based on graph neural network[J]. Information, 2022, 13(2): 78. Link
NaderiAlizadeh N, Eisen M, Ribeiro A. State-Augmented Learnable Algorithms for Resource Management in Wireless Networks[J]. IEEE Transactions on Signal Processing, 2022, 70: 5898-5912. Link Code
Zhao Z, Verma G, Rao C, et al. Link scheduling using graph neural networks[J]. IEEE Transactions on Wireless Communications, 2022. Link Code
Zhao X, Wu C. Large-scale Machine Learning Cluster Scheduling via Multi-agent Graph Reinforcement Learning[J]. IEEE Transactions on Network and Service Management, 2022. Link
Chen J, Xiao W, Li X, et al. A routing optimization method for software-defined optical transport networks based on ensembles and reinforcement learning[J]. Sensors, 2022, 22(21): 8139. Link
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Nikoloska I, Simeone O. Modular meta-learning for power control via random edge graph neural networks[J]. IEEE Transactions on Wireless Communications, 2022, 22(1): 457-470. Link
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Wang R, Zhang J, Gu Z, et al. Edge-enhanced graph neural network for DU-CU placement and lightpath provision in X-Haul networks[J]. Journal of Optical Communications and Networking, 2022, 14(10): 828-839. Link
Ye M, Zhang J, Guo Z, et al. FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks[J]. IEEE/ACM Transactions on Networking, 2022. Link
Huoh T L, Luo Y, Li P, et al. Flow-based Encrypted Network Traffic Classification with Graph Neural Networks[J]. IEEE Transactions on Network and Service Management, 2022. Link
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Jiang W, Bai Y. APGNN: Alarm Propagation Graph Neural Network for fault detection and alarm root cause analysis[J]. Computer Networks, 2022: 109485. Link
Sun Y, Zhang J, Zhang Y, et al. Environment information-based channel prediction method assisted by graph neural network[J]. China Communications, 2022, 19(11): 1-15. Link
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Yuan S, Zhang Y, Ma T, et al. Graph convolutional reinforcement learning for resource allocation in hybrid overlay–underlay cognitive radio network with network slicing[J]. IET Communications, 2022. Link
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Yang L, Wei Y, Yu F R, et al. Joint Routing and Scheduling Optimization in Time-Sensitive Networks Using Graph Convolutional Network-based Deep Reinforcement Learning[J]. IEEE Internet of Things Journal, 2022. Link
Jia Y, Zhang C, Huang Y, et al. Lyapunov Optimization Based Mobile Edge Computing for Internet of Vehicles Systems[J]. IEEE Transactions on Communications, 2022, 70(11): 7418-7433. Link
Zhang Y, Li A, Li J, et al. SpecKriging: GNN-based Secure Cooperative Spectrum Sensing[J]. IEEE Transactions on Wireless Communications, 2022, 21(11): 9936-9946. Link
Kim J, Lee H, Hong S E, et al. A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization[J]. IEEE Transactions on Wireless Communications, 2022. Link
Huang W, Yuan B, Wang S, et al. A generic intelligent routing method using deep reinforcement learning with graph neural networks[J]. IET Communications, 2022. Link
Hou J, Xia H, Lu H, et al. A Graph Neural Network Approach for Caching Performance Optimization in NDN Networks[J]. IEEE Access, 2022. Link
Jiang M, Li Z, Fu P, et al. Accurate mobile-app fingerprinting using flow-level relationship with graph neural networks[J]. Computer Networks, 2022, 217: 109309. Link Code
He S, Xiong S, An Z, et al. An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks[J]. IEEE Transactions on Wireless Communications, 2022. Link
Caville E, Lo W W, Layeghy S, et al. Anomal-E: A self-supervised network intrusion detection system based on graph neural networks[J]. Knowledge-Based Systems, 2022: 110030. Link
Choi H, Pack S. Cooperative Downloading for LEO Satellite Networks: A DRL-Based Approach[J]. Sensors, 2022, 22(18): 6853. Link
Zhang Z, Hua Q S, Zhang X, et al. DAG Scheduling with Communication Delays Based on Graph Convolutional Neural Network[J]. Wireless Communications and Mobile Computing, 2022, 2022. Link Code
Eswaramoorthi R, Leeban Moses M, Sahul Hameed J B, et al. Deep graph neural network optimized with fertile field algorithm based detection model for uplink multiuser massive multiple‐input and multiple‐output system[J]. Transactions on Emerging Telecommunications Technologies, 2022: e4614. Link
Almasan P, Suárez-Varela J, Rusek K, et al. Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case[J]. Computer Communications, 2022. Link Code
Xu L, Huang Y C, Xue Y, et al. Deep Reinforcement Learning-based Routing and Spectrum Assignment of EONs by Exploiting GCN and RNN for Feature Extraction[J]. Journal of Lightwave Technology, 2022. Link
Li K, Ni W, Yuan X, et al. Deep Graph-based Reinforcement Learning for Joint Cruise Control and Task Offloading for Aerial Edge Internet-of-Things (EdgeIoT)[J]. IEEE Internet of Things Journal, 2022. Link
Lan J, Lu J Z, Wan G G, et al. E-minBatch GraphSAGE: An Industrial Internet Attack Detection Model[J]. Security and Communication Networks, 2022, 2022. Link
Feng Y, Chen J, Liu Z, et al. Full Graph Autoencoder for One-Class Group Anomaly Detection of IIoT System[J]. IEEE Internet of Things Journal, 2022. Link
Lee J, Cheng Y, Niyato D, et al. Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural Networks[J]. IEEE Transactions on Vehicular Technology, 2022, 71(10): 11120-11135. Link
Zhang Y, Yang C, Huang K, et al. Intrusion detection of industrial internet-of-things based on reconstructed graph neural networks[J]. IEEE Transactions on Network Science and Engineering, 2022. Link Code
Wang X, Fu L, Cheng N, et al. Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach[J]. Remote Sensing, 2022, 14(17): 4377. Link
Zhang X, Zhang Z, Yang L. Learning-Based Resource Allocation in Heterogeneous Ultra Dense Network[J]. IEEE Internet of Things Journal, 2022. Link
Liu Z, Qiu H, Guo W, et al. NIE-GAT: Node Importance Evaluation Method for Inter-Domain Routing Network Based on Graph Attention Network[J]. Journal of Computational Science, 2022: 101885. Link
Zhang X. Path Selection Strategy of Communication Network Based on Graph Convolutional Neural Network[J]. Security and Communication Networks, 2022, 2022. Link
Zheng X, Huang W, Li H, et al. Research on Generalized Intelligent Routing Technology Based on Graph Neural Network[J]. Electronics, 2022, 11(18): 2952. Link
Peng Y, Liu C, Liu S, et al. SmartTRO: Optimizing topology robustness for Internet of Things via deep reinforcement learning with graph convolutional networks[J]. Computer Networks, 2022: 109385. Link
Chen N, Zhang P, Kumar N, et al. Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture[J]. Knowledge-Based Systems, 2022, 257: 109931. Link
Guo J, Yang C. Learning power allocation for multi-cell-multi-user systems with heterogeneous graph neural networks[J]. IEEE Transactions on Wireless Communications, 2022, 21(2): 884-897. Link
Wang Z, Eisen M, Ribeiro A. Learning decentralized wireless resource allocations with graph neural networks[J]. IEEE Transactions on Signal Processing, 2022, 70: 1850-1863. Link
Huang R, Guan W, Zhai G, et al. Deep Graph Reinforcement Learning Based Intelligent Traffic Routing Control for Software-Defined Wireless Sensor Networks[J]. Applied Sciences, 2022, 12(4): 1951. Link
Fang Y, Ergüt S, Patras P. SDGNet: A Handover-Aware Spatiotemporal Graph Neural Network for Mobile Traffic Forecasting[J]. IEEE Communications Letters, 2022, 26(3): 582-586. Link
Li P, Wang L, Wu W, et al. Graph Neural Network-Based Scheduling for Multi-UAV-Enabled Communications in D2D Networks[J]. Digital Communications and Networks, 2022. Link
Govindaraju S, Vinisha W V R, Shajin F H, et al. Intrusion detection framework using auto‐metric graph neural network optimized with hybrid woodpecker mating and capuchin search optimization algorithm in IoT network[J]. Concurrency and Computation: Practice and Experience, e7197, 2022. Link
Zhou X, Liang W, Li W, et al. Hierarchical adversarial attacks against graph neural network based IoT network intrusion detection system[J]. IEEE Internet of Things Journal, 2022. Link
Cao H, Zhu W, Feng W, et al. Robust beamforming based on graph attention networks for IRS-assisted Satellite IoT Communications[J]. Entropy, 2022, 24(3): 326. Link
Peng S, Nie J, Shu X, et al. A multi-view framework for BGP anomaly detection via graph attention network[J]. Computer Networks, 2022, 214: 109129. Link
Yan B, Liu Q, Shen J L, et al. Flowlet-level multipath routing based on graph neural network in OpenFlow-based SDN[J]. Future Generation Computer Systems, 2022, 134: 140-153. Link
Almasan P, Xiao S, Cheng X, et al. ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning[J]. Computer Networks, 2022, 214: 109166. Link
Chen B, Zhu D, Wang Y, et al. An Approach to Combine the Power of Deep Reinforcement Learning with a Graph Neural Network for Routing Optimization[J]. Electronics, 2022, 11(3): 368. Link
Ma S, Yao H, Mai T, et al. Graph Convolutional Network Aided Virtual Network Embedding for Internet of Thing[J]. IEEE Transactions on Network Science and Engineering, 2022. Link
Ferriol-Galmés M, Suárez-Varela J, Paillissé J, et al. Building a digital twin for network optimization using graph neural networks[J]. Computer Networks, 2022: 109329. Link Code
Li Y, Li J, Pang J. A Graph Attention Mechanism-Based Multiagent Reinforcement-Learning Method for Task Scheduling in Edge Computing[J]. Electronics, 2022, 11(9): 1357. Link
He M, Zhuang L, Yang S, et al. An Energy-Efficient VNE Algorithm Based on Bidirectional Long Short-Term Memory[J]. Journal of Network and Systems Management, 2022, 30(3): 1-29. Link
Wang T, Chen S, Zhu Y, et al. LinkSlice: Fine-grained Network Slice Enforcement Based on Deep Reinforcement Learning[J]. IEEE Journal on Selected Areas in Communications, 2022. Link
Zhang Z, Jiang T, Yu W. Learning Based User Scheduling in Reconfigurable Intelligent Surface Assisted Multiuser Downlink[J]. IEEE Journal of Selected Topics in Signal Processing, 2022. Link
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Conference

Xu H, Li S, Cheng Z, et al. VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Cham: Springer Nature Switzerland, 2022: 437-456. Link
He H, Su L, Ye K. GraphGRU: A Graph Neural Network Model for Resource Prediction in Microservice Cluster[C]//2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2023: 499-506. Link Code
Cheng P, Chen G, Han Z. Graph Neural Networks based Resource Allocation in Heterogeneous Wireless Networks[C]//Proceedings of the 7th International Conference on Intelligent Information Processing. 2022: 1-6. Link
Zhang J, Jiang Y, Liu X, et al. Design of Retransmission Mechanism for Decentralized Inference with Graph Neural Networks[C]//2022 27th Asia Pacific Conference on Communications (APCC). IEEE, 2022: 515-519. Link
Chen L, Yan N, Zhang B, et al. A General Backdoor Attack to Graph Neural Networks Based on Explanation Method[C]//2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2022: 759-768. Link
Boukhtouta A, Madi T, Pourzandi M, et al. Cloud Native Applications Profiling using a Graph Neural Networks Approach[C]//2022 IEEE Future Networks World Forum (FNWF). IEEE, 2022: 220-227. Link
Yan N, Wen Y, Chen L, et al. Deepro: Provenance-based APT Campaigns Detection via GNN[C]//2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2022: 747-758. Link
Liu Y, She C, Hardjawana W, et al. Graph Neural Networks for Timely Updates of Short Packets in Interference-Limited Networks[C]//2022 56th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2022: 1050-1054. Link
Coleman J, Kiamari M, Clark L, et al. Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things[C]//MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM). IEEE, 2022: 1070-1075. Link Code
Li B, Swami A, Segarra S. Power allocation for wireless federated learning using graph neural networks[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 5243-5247. Link Code
Wang H, Zhang R, Cheng X, et al. Federated Spatio-Temporal Traffic Flow Prediction Based on Graph Convolutional Network[C]//2022 14th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2022: 221-225. Link
Tonchev K, Neshov N, Ivanov A, et al. Automatic Modulation Classification using Graph Convolutional Neural Networks for Time-frequency Representation[C]//2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2022: 75-79. Link
Bai Y, Wang D, Song B. A Knowledge Graph-based Cooperative Caching Scheme in MEC-enabled Heterogeneous Networks[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 5959-5964. Link
Kim J, Lee H, Park S H. Autoencoding Graph Neural Networks for Scalable Transceiver Design[C]//2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). IEEE, 2022: 1-2. Link
Su Y, Zhou H, Deng Y. D2D-Based Cellular-Connected UAV Swarm Control Optimization via Graph-Aware DRL[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 1326-1331. Link
Randall M, Belzarena P, Larroca F, et al. Deep Reinforcement Learning and Graph Neural Networks for Efficient Resource Allocation in 5G Networks[C]//2022 IEEE Latin-American Conference on Communications (LATINCOM). IEEE, 2022: 1-6. Link Code
Lent R. Dynamic Routing in Challenged Networks with Graph Neural Networks[C]//2022 IEEE Latin-American Conference on Communications (LATINCOM). IEEE, 2022: 1-6. Link
Chen R, Shi H, Wu J, et al. GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning[C]//Algorithms and Architectures for Parallel Processing: 22nd International Conference, ICA3PP 2022, Copenhagen, Denmark, October 10–12, 2022, Proceedings. Cham: Springer Nature Switzerland, 2023: 568-589. Link
Li N, Iosifidis A, Zhang Q. Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 982-987. Link
Zhu H, Lu J. Graph-based Intrusion Detection System Using General Behavior Learning[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 2621-2626. Link
Li C, Li F, Yu M, et al. Insider Threat Detection Using Generative Adversarial Graph Attention Networks[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 2680-2685. Link
Tonchev K, Ivanov A, Neshov N, et al. Learning Graph Convolutional Neural Networks to Predict Radio Environment Maps[C]//2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2022: 392-395. Link
Zhang H, Tian Q, Han Y. Multi channel spectrum prediction algorithm based on GCN and LSTM[C]//2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). IEEE, 2022: 1-5. Link
Zhu R, Luo X, Yao J, et al. Prediction of Cellular Network Channel Utilization Based on Graph Convolutional Networks[C]//2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2022: 1233-1238. Link
He S, Ou Y, Wang L, et al. Representation Learning of Knowledge Graph for Wireless Communication Networks[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 1338-1343. Link
Li C, Lou J, Liu S, et al. Shapley Explainer-An Interpretation Method for GNNs Used in SDN[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 5534-5540. Link
Xu H, Li S, Cheng Z, et al. TrafficGCN: Mobile Application Encrypted Traffic Classification Based on GCN[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 891-896. Link
Geng Z, She C, Zhang D, et al. Zero-Shot Recurrent Graph Neural Networks for Beam Prediction in Non-Terrestrial Networks[C]//2022 IEEE Globecom Workshops (GC Wkshps). IEEE, 2022: 1400-1405. Link
Herath J D, Wakodikar P P, Yang P, et al. CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs[C]//2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2022: 172-184. Link Code
Yaqoob M, Trestian R, Nguyen H X. Data-driven network performance prediction for B5G networks: a graph neural network approach[C]//2022 IEEE Ninth International Conference on Communications and Electronics (ICCE). IEEE, 2022: 55-60. Link
Hara T, Sasabe M. Deep Reinforcement Learning with Graph Neural Networks for Capacitated Shortest Path Tour based Service Chaining[C]//2022 18th International Conference on Network and Service Management (CNSM). IEEE, 2022: 19-27. Link
Bhavanasi S S, Pappone L, Esposito F. Routing with Graph Convolutional Networks and Multi-Agent Deep Reinforcement Learning[C]//2022 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2022: 72-77. Link
Zhou X, Zhang J, Wen C K, et al. Extrinsic Graph Neural Network-Aided Expectation Propagation for Turbo-MIMO Receiver[C]//2022 International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2022: 1-6. Link
Li Y, Xie Q, Wang W, et al. GCN-Based Topology Design for Decentralized Federated Learning in IoV[C]//2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2022: 1-6. Link
Yang L, Cheng M, Qu J, et al. GraphHO: A Graph-based Handover Optimization System for Cellular Networks[C]//2022 International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2022: 1-6. Link
Sun X, Yang J. HetGLM: Lateral Movement Detection by Discovering Anomalous Links with Heterogeneous Graph Neural Network[C]//2022 IEEE International Performance, Computing, and Communications Conference (IPCCC). IEEE, 2022: 404-411. Link
Hou Q, Lee M, Yu G, et al. Learning to Optimize Resource in Dynamic Wireless Environment via Meta-Gating Graph Neural Network[C]//2022 International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2022: 1-6. Link
Heo D N, Lee D, Kim H G, et al. Reinforcement Learning of Graph Neural Networks for Service Function Chaining in Computer Network Management[C]//2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2022: 1-6. Link
Jin Y, Vannella F, Bouton M, et al. A Graph Attention Learning Approach to Antenna Tilt Optimization[C]//2022 1st International Conference on 6G Networking (6GNet). IEEE, 2022: 1-5. Link
Ghasemzadeh P, Hempel M, Sharif H. A Robust Graph Convolutional Neural Network-Based Classifier for Automatic Modulation Recognition[C]//2022 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2022: 907-912. Link
Wu J, Wang F, Yao H, et al. Autonomous Operation and Maintenance Technology of Optical Network Based on Graph Neural Network[C]//2022 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2022: 766-772. Link
Harris D, Raz D, Sagiv P. Bandwidth resource allocation in integrated access and backhaul networks[C]//Proceedings of the ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases. 2022: 1-7. Link
Hoarau K, Tournoux P U, Razafindralambo T. BGNN: Detection of BGP Anomalies Using Graph Neural Networks[C]//2022 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2022: 1-6. Link Code
Schynol L, Pesavento M. Deep Unfolding in Multicell MU-MIMO[C]//2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022: 1631-1635. Link Code
Mohammedi E H, Lavinal E, Fleury G. Detecting and locating configuration errors in IP VPNs with Graph Neural Networks[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-6. Link
Rusek K, Almasan P, Suárez-Varela J, et al. Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing[C]. International Conference on Network and Service Management (CNSM), 2022. Link
Zhao R, Deng X, Wang Y, et al. Flow Sequence-Based Anonymity Network Traffic Identification with Residual Graph Convolutional Networks[C]//2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS). IEEE, 2022: 1-10. Link
Hou J, Lu H, Nayak A. GNN-GM: A Proactive Caching Scheme for Named Data Networking[C]//2022 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2022: 1-6. Link
Yen C C, Sun W, Purmehdi H, et al. Graph Neural Network based Root Cause Analysis Using Multivariate Time-series KPIs for Wireless Networks[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-7. Link
Li Y, Li R, Zhou Z, et al. GraphDDoS: Effective DDoS Attack Detection Using Graph Neural Networks[C]//2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2022: 1275-1280. Link
Houidi O, Bakri S, Zeghlache D. Multi-Agent Graph Convolutional Reinforcement Learning for Intelligent Load Balancing[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-6. Link
Ji Y, Huang H H. NestedGNN: Detecting Malicious Network Activity with Nested Graph Neural Networks[C]//ICC 2022-IEEE International Conference on Communications. IEEE, 2022: 2694-2699. Link
Yu Q, Wang H, Li T, et al. Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks[C]//2022 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2022: 885-890. Link
Jin Y, Daoutis M, Girdzijauskas S, et al. Open World Learning Graph Convolution for Latency Estimation in Routing Networks[C]//2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022: 1-8. Link Code
Paudel R, Huang H H. Pikachu: Temporal Walk Based Dynamic Graph Embedding for Network Anomaly Detection[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-7. Link
Oshio K, Takada S, Han C, et al. Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique[C]//2022 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2022: 1-3. Link
Hui N, Sun Q, Wang Y, et al. Wireless Resource Allocation based on Multiplexing and Isolation in Sliced 5G Networks[C]//2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022: 1629-1634. Link
NaderiAlizadeh N, Eisen M, Ribeiro A. Adaptive Wireless Power Allocation with Graph Neural Networks[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 5213-5217. Link
Zhao Z, Verma G, Swami A, et al. Delay-Oriented Distributed Scheduling Using Graph Neural Networks[C]. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 8902-8906. Link Code
Lo W W, Layeghy S, Sarhan M, et al. E-GraphSAGE: A Graph Neural Network based Intrusion Detection System[C]. NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-9. Link
Wang M, Hui L, Cui Y, et al. xNet: Improving Expressiveness and Granularity for Network Modeling with Graph Neural Networks[C]//IEEE INFOCOM 2022-IEEE Conference on Computer Communications. IEEE, 2022: 2028-2037. Link
Happ M, Du J L, Herlich M, et al. Exploring the Limitations of Current Graph Neural Networks for Network Modeling[C]. Proceedings of the IEEE/IFIP Network Operations and Management Symposium, 2022. Link
Güemes-Palau C, Almasan P, Xiao S, et al. Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-5. Link
Ferriol-Galmés M, Rusek K, Suárez-Varela J, et al. Routenet-erlang: A graph neural network for network performance evaluation[C]//IEEE INFOCOM 2022-IEEE Conference on Computer Communications. IEEE, 2022: 2018-2027. Link Code
Zhu J, Li R, Zhao Z, et al. AoI-based Temporal Attention Graph Neural Network for Popularity Prediction in ICN[C]//2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022: 1284-1289. Link
Dai Z, Liu C H, Ye Y, et al. AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning[C]//IEEE INFOCOM 2022-IEEE Conference on Computer Communications. IEEE, 2022: 1029-1038. Link
Zhao Z, Swami A, Segarra S. Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 5308-5312. Link
Zhu X, Zhang Y, Zhang Z, et al. Interpretability Evaluation of Botnet Detection Model based on Graph Neural Network[C]//IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2022: 1-6. Link
Farreras M, Soto P, Camelo M, et al. Predicting network performance using GNNs: generalization to larger unseen networks[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-6. Link
Zhang Z, Jiang T, Yu W. User Scheduling Using Graph Neural Networks for Reconfigurable Intelligent Surface Assisted Multiuser Downlink Communications[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 8892-8896. Link
Lian L, Chen N, Ou P, et al. Mobile Edge Cooperative Caching Strategy Based on Spatio-temporal Graph Convolutional Model[C]//2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2022: 1396-1401. Link
Ferriol-Galmés M, Cheng X, Shi X, et al. FlowDT: A Flow-Aware Digital Twin for Computer Networks[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 8907-8911. Link
Kosasih A, Onasis V, Hardjawana W, et al. Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems[C]. 2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022: 1212-1217. Link

Workshop

Ye W, Hu X, Liu T, et al. 5GNN: extrapolating 5G measurements through GNNs[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 36-41. Link Code
Giakatos D P, Kostoglou S, Sermpezis P, et al. Benchmarking graph neural networks for internet routing data[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 1-6. Link Code
Fernandes D M, Krolikowski J, Houidi Z B, et al. Cross-network transferable neural models for WLAN interference estimation[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 30-35. Link
Kiamari M, Krishnamachari B. Gcnscheduler: Scheduling distributed computing applications using graph convolutional networks[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 13-17. Link
Randall M, Belzarena P, Larroca F, et al. GROWS: improving decentralized resource allocation in wireless networks through graph neural networks[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 24-29. Link Code
Jaeger B, Helm M, Schwegmann L, et al. Modeling TCP performance using graph neural networks[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 18-23. Link Code (access required)
Wang T Y, Zhou H, Kannan R, et al. Throughput optimization in heterogeneous MIMO networks: a GNN-based approach[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 42-47. Link
Latif H, Paillissé J, Yang J, et al. Unveiling the potential of graph neural networks for BGP anomaly detection[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 7-12. Link

Preprint

Liu Q, Li X, Li Z, et al. Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges[J]. arXiv preprint arXiv:2211.03005, 2022. Link Code
Mehrabi M, Masoudimansour W, Zhang Y, et al. Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network[J]. arXiv preprint arXiv:2301.03412, 2022. Link
Zhao Z, Radojicic B, Verma G, et al. Delay-aware Backpressure Routing Using Graph Neural Networks[J]. arXiv preprint arXiv:2211.10748, 2022. Link Code
Li B, Verma G, Segarra S. Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks[J]. arXiv preprint arXiv:2201.11799, 2022. Link Code
Zhao J, Yang C. Graph Reinforcement Learning for Predictive Power Allocation to Mobile Users[J]. arXiv preprint arXiv:2203.03906, 2022. Link
Geyer F, Scheffler A, Bondorf S. Network Calculus with Flow Prolongation--A Feedforward FIFO Analysis enabled by ML[J]. arXiv preprint arXiv:2202.03004, 2022. Link
Xu X, Liu Y, Mu X, et al. Artificial Intelligence Enabled NOMA Towards Next Generation Multiple Access[J]. arXiv preprint arXiv:2206.04992, 2022. Link
Li H, Wang J, Wang Y. Edge Graph Neural Networks for Massive MIMO Detection[J]. arXiv preprint arXiv:2206.06979, 2022. Link
He H, Kosasihy A, Yu X, et al. Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection[J]. arXiv preprint arXiv:2205.10620, 2022. Link
Kosasih A, Onasis V, Miloslavskaya V, et al. Graph Neural Network Aided MU-MIMO Detectors[J]. arXiv preprint arXiv:2206.09381, 2022. Link Code
Azeez S. Graph-based Deep Learning for Spatial Reuse Optimization in Dense WLAN Deployments[J]. 2022. Link
Lima V, Eisen M, Gatsis K, et al. Graph Reinforcement Learning for Wireless Control Systems: Large-Scale Resource Allocation over Interference Channels[J]. arXiv preprint arXiv:2201.09859, 2022. Link

2021

Journal

Shen Y, Shi Y, Zhang J, et al. Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(1): 101-115. Link Code
Lee M, Yu G, Dai H. Decentralized Inference with Graph Neural Networks in Wireless Communication Systems[J]. IEEE Transactions on Mobile Computing, 2021. Link
Li N, Jia S, Li Q. Traffic Message Channel Prediction Based on Graph Convolutional Network[J]. IEEE Access, 2021, 9: 135423-135431. Link
Chowdhury A, Verma G, Rao C, et al. Unfolding wmmse using graph neural networks for efficient power allocation[J]. IEEE Transactions on Wireless Communications, 2021. Link Code
Zhang K, Zhao X, Li X, et al. Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology[J]. Wireless Communications and Mobile Computing, 2021, 2021. Link
Shao Y, Li R, Hu B, et al. Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network[J]. IEEE Transactions on Vehicular Technology, 2021, 70(10): 10792-10803. Link
Dong T, Zhuang Z, Qi Q, et al. Intelligent Joint Network Slicing and Routing via GCN-powered Multi-Task Deep Reinforcement Learning[J]. IEEE Transactions on Cognitive Communications and Networking, 2021. Link
Sun F, Wang P, Zhao J, et al. Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns[J]. IEEE Transactions on Mobile Computing, 2021. Link
Pan C, Zhu J, Kong Z, et al. DC-STGCN: Dual-Channel Based Graph Convolutional Networks for Network Traffic Forecasting[J]. Electronics, 2021, 10(9): 1014. Link
Wu Y, Dai H N, Tang H. Graph neural networks for anomaly detection in industrial internet of things[J]. IEEE Internet of Things Journal, 2021. Link
Chen T, Zhang X, You M, et al. A GNN-Based Supervised Learning Framework for Resource Allocation in Wireless IoT Networks[J]. IEEE Internet of Things Journal, 2021, 9(3): 1712-1724. Link
Chen G, Wu J, Yang W, et al. Leveraging Graph Convolutional-LSTM for Energy Efficient Caching in Blockchain-based Green IoT[J]. IEEE Transactions on Green Communications and Networking, 2021. Link
Tang M, Cai S, Lau V K N. Over-the-Air-Aggregation with Multiple Shared Channels and Graph-based State Estimation for Industrial IoT Systems[J]. IEEE Internet of Things Journal, 2021. Link
Hu Z, Liu L, Yu H, et al. Using Graph Representation in Host-Based Intrusion Detection[J]. Security and Communication Networks, 2021, 2021. Link
Cheng Q, Wu C, Zhou S. Discovering Attack Scenarios via Intrusion Alert Correlation using Graph Convolutional Networks[J]. IEEE Communications Letters, 2021. Link
Soto P, Camelo M, Mets K, et al. ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs[J]. Sensors, 2021, 21(13): 4321. Link Data
Shen M, Zhang J, Zhu L, et al. Accurate Decentralized Application Identification via Encrypted Traffic Analysis Using Graph Neural Networks[J]. IEEE Transactions on Information Forensics and Security, 2021, 16: 2367-2380. Link
Li B, Zhu Z. GNN-based Hierarchical Deep Reinforcement Learning for NFV-Oriented Online Resource Orchestration in Elastic Optical DCIs[J]. Journal of Lightwave Technology, 2021. Link
Tian X, Li B, Gu R, et al. Reconfiguring multicast sessions in elastic optical networks adaptively with graph-aware deep reinforcement learning[J]. Journal of Optical Communications and Networking, 2021, 13(11): 253-265. Link
Cao Y, Jiang H, Deng Y, et al. Detecting and Mitigating DDoS Attacks in SDN Using Spatial-Temporal Graph Convolutional Network[J]. IEEE Transactions on Dependable and Secure Computing, 2021. Link
Swaminathan A, Chaba M, Sharma D K, et al. GraphNET: Graph Neural Networks for routing optimization in Software Defined Networks[J]. Computer Communications, 2021, 178: 169-182. Link
Park M, Lee Y, Yeom I, et al. Gemma: Reinforcement Learning-Based Graph Embedding and Mapping for Virtual Network Applications[J]. IEEE Access, 2021, 9: 105463-105476. Link
Xie Y, Huang L, Kong Y, et al. Virtualized Network Function Forwarding Graph Placing in sdn and nfv-Enabled iot Networks: A Graph Neural Network Assisted Deep Reinforcement Learning Method[J]. IEEE Transactions on Network and Service Management, 2021. Link
Zhang P, Wang C, Kumar N, et al. Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning[J]. IEEE Internet of Things Journal, 2021. Link
Kim H G, Park S, Lange S, et al. Graph neural network‐based virtual network function deployment optimization[J]. International Journal of Network Management, 2021: e2164. Link
Tang M, Cai S, Lau V K N. Over-the-air aggregation with multiple shared channels and graph-based state estimation for industrial IoT systems[J]. IEEE Internet of Things Journal, 2021, 8(19): 14638-14657. Link
Jiang T, Cheng H V, Yu W. Learning to reflect and to beamform for intelligent reflecting surface with implicit channel estimation[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(7): 1931-1945. Link Code
Lv S, Yi F, He P, et al. QoS Prediction of Web Services Based on a Two-Level Heterogeneous Graph Attention Network[J]. IEEE Access, 2021, 10: 1871-1880. Link
Guan L, Zhang M, Gui Y, et al. AI-assisted intent-based traffic grooming in a dynamically shared 5g optical fronthaul network[J]. Optics Express, 2021, 29(15): 23113-23130. Link
Xu X, Chen Q, Mu X, et al. Graph-Embedded Multi-Agent Learning for Smart Reconfigurable THz MIMO-NOMA Networks[J]. IEEE Journal on Selected Areas in Communications, 2021, 40(1): 259-275. Link
Lee H, Lee S H, Quek T Q S. Learning Autonomy in Management of Wireless Random Networks[J]. IEEE Transactions on Wireless Communications, 2021. Link
Leng L, Li J, Shi H, et al. Graph convolutional network-based reinforcement learning for tasks offloading in multi-access edge computing[J]. Multimedia Tools and Applications, 2021, 80(19): 29163-29175. Link
Mai T L, Navet N. Deep learning to predict the feasibility of priority-based Ethernet network configurations[J]. ACM Transactions on Cyber-Physical Systems (TCPS), 2021, 5(4): 1-26. Link
Chen J, Wu Z. Dynamic computation offloading with energy harvesting devices: a graph-based deep reinforcement learning approach[J]. IEEE Communications Letters, 2021, 25(9): 2968-2972. Link
Singh A, Sharma S, Gumaste A, et al. Grafnet: Using Graph Neural Networks to Create Table-Less Routers[J]. IEEE Transactions on Network Science and Engineering, 2021. Link
Tekbıyık K, Yurduseven O, Kurt G K. Graph Attention Network-Based Single-Pixel Compressive Direction of Arrival Estimation[J]. IEEE Communications Letters, 2021. Link

Conference

Nagaraj K, Starke A, McNair J. Glass: a graph learning approach for software defined network based smart grid ddos security[C]//ICC 2021-IEEE International Conference on Communications. IEEE, 2021: 1-6. Link
Li B, Verma G, Rao C, et al. Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks[C]//2021 55th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2021: 732-736. Link
Chowdhury A, Verma G, Rao C, et al. Efficient power allocation using graph neural networks and deep algorithm unfolding[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 4725-4729. Link Code
Shen Y, Zhang J, Song S H, et al. AI Empowered Resource Management for Future Wireless Networks[C]. Meditcom 2021. Link
Tekbıyık K, Kurt G K, Huang C, et al. Channel Estimation for Full-Duplex RIS-assisted HAPS Backhauling with Graph Attention Networks[C]. ICC 2021-2021 IEEE International Conference on Communications. IEEE, 2021. Link
Shao Y, Li R, Zhao Z, et al. Graph Attention Network-based DRL for Network Slicing Management in Dense Cellular Networks[C]//2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021: 1-6. Link
Guo J, Yang C. Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network[C]//2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021: 1-6. Link
Hou K, Xu Q, Zhang X, et al. User Association and Power Allocation Based on Unsupervised Graph Model in Ultra-Dense Network[C]//2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021: 1-6. Link
Rkhami A, Hadjadj-Aoul Y, Outtagarts A. Learn to improve: A novel deep reinforcement learning approach for beyond 5G network slicing[C]//2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2021: 1-6. Link
Chen T, You M, Zheng G, et al. Graph Neural Network Based Beamforming in D2D Wireless Networks[C]. The 25th International ITG Workshop on Smart Antennas (WSA), Nov. 2021, EURECOM, French Riviera. Link
Zhang X, Zhao H, Xiong J, et al. Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks[C]//GLOBECOM 2021-2021 IEEE Global Communications Conference. IEEE, 2021. Link
Zhao Z, Verma G, Rao C, et al. Distributed scheduling using graph neural networks[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 4720-4724. Link Code
Sambamoorthy R, Mandalapu J, Peruru S S, et al. Graph Neural Network Based Scheduling: Improved Throughput Under a Generalized Interference Model[C]//EAI International Conference on Performance Evaluation Methodologies and Tools. Springer, Cham, 2021: 144-153. Link
Yanyan Z, Zeyu L, Baocong W. Graph convolution network deep reinforcement learning approach based on manifold regularization in cognitive radio network[C]//2021 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2021: 1275-1280. Link
Wang H, Ran Y, Zhao L, et al. GRouting: Dynamic Routing for LEO Satellite Networks with Graph-based Deep Reinforcement Learning[C]//2021 4th International Conference on Hot Information-Centric Networking (HotICN). IEEE, 2021: 123-128. Link
Liu J, Xiao Y, Li Y, et al. Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks[C]. ICC 2021-2021 IEEE International Conference on Communications (ICC). IEEE, 2021. Link
Zheng H, Ding X, Wang Y, et al. Attention Based Spatial-Temporal Graph Convolutional Networks for RSU Communication Load Forecasting[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Springer, Cham, 2021: 99-114. Link
Yang Y, Wang L. LGANet: Local Graph Attention Network for Peer-to-Peer Botnet Detection[C]//2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC). IEEE, 2021: 31-36. Link
Huoh T L, Luo Y, Zhang T. Encrypted Network Traffic Classification Using a Geometric Learning Model[C]//2021 IFIP/IEEE International Symposium on Integrated Network Management (IM). IEEE, 2021: 376-383. Link
Busch J, Kocheturov A, Tresp V, et al. NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification[C]. 33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021), 2021. Link
Pham T D, Ho T L, Truong-Huu T, et al. MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep Graph Convolution Neural Networks[C]//Annual Computer Security Applications Conference. 2021: 1025-1038. Link Code and Data
Mai T L, Navet N. Improvements to Deep-Learning-based Feasibility Prediction of Switched Ethernet Network Configurations[C]//The 29th International Conference on Real-Time Networks and Systems (RTNS2021). 2021. Link
Kong Y, Petrov D, Räisänen V, et al. Path-Link Graph Neural Network for IP Network Performance Prediction[C]//2021 IFIP/IEEE International Symposium on Integrated Network Management (IM). IEEE, 2021: 170-177. Link
Qin L, Wei W, Ma Y. FlowDiviner: Spatio-Temporal Network Traffic Prediction Method Based on Graph Neural Network[C]. 5th Asia-Pacific Workshop on Networking (APNet 2021). Link
Yao Z, Xu Q, Chen Y, et al. Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks[C]//2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021: 1-8. Link
Zhang K, Xu X, Fu C, et al. Modeling Data Center Networks with Message Passing Neural Network and Multi-task Learning[C]//International Conference on Neural Computing for Advanced Applications. Springer, Singapore, 2021: 96-112. Link
Bao B, Yang H, Wan Y, et al. Node-Oriented Traffic Prediction and Scheduling Based on Graph Convolutional Network in Metro Optical Networks[C]//Optical Fiber Communication Conference. Optical Society of America, 2021: F2G. 2. Link
Wang C, Yoshikane N, Tsuritani T. Usage of a Graph Neural Network for Large-Scale Network Performance Evaluation[C]//2021 International Conference on Optical Network Design and Modeling (ONDM). IEEE, 2021: 1-5. Link
Khan T A, Abbas K, Rivera J J D, et al. Applying RouteNet and LSTM to Achieve Network Automation: An Intent-based Networking Approach[C]//2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2021: 254-257. Link
Siyu Q I, Shuopeng L I, Shaofu L I N, et al. Energy-Efficient VNF Deployment for Graph-Structured SFC Based on Graph Neural Network and Constrained Deep Reinforcement Learning[C]//2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2021: 348-353. Link
Wang T, Fan Q, Li X, et al. Drl-sfcp: Adaptive service function chains placement with deep reinforcement learning[C]//ICC 2021-IEEE International Conference on Communications. IEEE, 2021: 1-6. Link Code
Yang Z, Gu R, Ji Y. Virtual Network Function Placement Based on Differentiated Weight Graph Convolutional Neural Network and Maximal Weight Matching[C]//2021 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2021: 1-7. Link
Yeom S, Choi C, Kolekar S S, et al. Graph Convolutional Network based Link State Prediction[C]//2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2021: 246-249. Link
Cui T, Gou G, Xiong G, et al. SIAMHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network[C]//30th USENIX Security Symposium (USENIX Security 21). 2021: 4329-4346. Link
Liu T, Li P, Gu Y. Glint: Decentralized Federated Graph Learning with Traffic Throttling and Flow Scheduling[C]//2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS). IEEE, 2021: 1-10. Link
Ranasinghe V, Rajatheva N, Latva-aho M. Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems[C]. 2021 IEEE Global Communications Conference (GLOBECOM). IEEE, 2021: 01-06. Link
Pujol-Perich D, Suárez-Varela J, Xiao S, et al. NetXplain: Real-Time Explainability of Graph Neural Networks Applied to Computer Networks[C]. GNNSys workshop, 2021. Link
Zhu H, Gupta V, Ahuja S S, et al. Network planning with deep reinforcement learning[C]//Proceedings of the 2021 ACM SIGCOMM 2021 Conference. 2021: 258-271. Link Code
Bernárdez G, Suárez-Varela J, López A, et al. Is Machine Learning Ready for Traffic Engineering Optimization?[C]. IEEE ICNP 2021. Link
Li L, Jiang H, He H. Graph-based Multi-view Learning for Cooperative Spectrum Sensing[C]//2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021: 1-7. Link
Orhan O, Swamy V N, Tetzlaff T, et al. Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach[C]. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2021: 936-941. Link
Ren X, Zhang W, Bao L, et al. Deepqsc: A gnn and attention mechanism-based framework for qos-aware service composition[C]//2021 International Conference on Service Science (ICSS). IEEE, 2021: 76-83. Link
Le T T, Le Nguyen P, Binh H T T, et al. GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network[C]//ICC 2021-IEEE International Conference on Communications. IEEE, 2021: 1-6. Link Code
Poularakis K, Qin Q, Le F, et al. Generalizable and Interpretable Deep Learning for Network Congestion Prediction[C]. IEEE International Conference on Network Protocols (ICNP), 2021. Link
Park J, Choi B, Lee C, et al. GRAF: a graph neural network based proactive resource allocation framework for SLO-oriented microservices[C]//Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies. 2021: 154-167. Link
Nikoloska I, Simeone O. Fast power control adaptation via meta-learning for random edge graph neural networks[C]//2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2021: 146-150. Link Code (Empty)
Mai X, Fu Q, Chen Y. Packet routing with graph attention multi-agent reinforcement learning[C]//2021 IEEE Global Communications Conference (GLOBECOM). IEEE, 2021: 1-6. Link

Preprint

Nikoloska I, Simeone O. Black-box and modular meta-learning for power control via random edge graph neural networks[J]. arXiv preprint arXiv:2108.13178, 2021. Link
Zhang X, Zhang Z, Yang L. Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning[J]. arXiv preprint arXiv:2103.15367, 2021. Link
He S, Yuan J, An Z, et al. Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems[J]. arXiv preprint arXiv:2112.01738, 2021. Link
Naderializadeh N. Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels[J]. arXiv preprint arXiv:2110.01722, 2021. Link Code
Tekbıyık K, Kurt G K, Ekti A R, et al. Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications[J]. arXiv preprint arXiv:2104.00735, 2021. Link
Chang L, Branco P. Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms[J]. arXiv preprint arXiv:2111.13597, 2021. Link
Liu M, Li J, Lu H. Routing in Small Satellite Networks: A GNN-based Learning Approach[J]. arXiv preprint arXiv:2108.08523, 2021. Link
Pang B, Fu Y, Ren S, et al. CGNN: Traffic Classification with Graph Neural Network[J]. arXiv preprint arXiv:2110.09726, 2021. Link
Shabka Z, Zervas G. Nara: Learning Network-Aware Resource Allocation Algorithms for Cloud Data Centres[J]. arXiv preprint arXiv:2106.02412, 2021. Link
Ding S, Zhang F, Luo X, et al. GCN-Geo: A Graph Convolution Network-based Fine-grained IP Geolocation Framework[J]. arXiv preprint arXiv:2112.10767, 2021. Link
Lv M, Dong C, Chen T, et al. A Heterogeneous Graph Learning Model for Cyber-Attack Detection[J]. arXiv preprint arXiv:2112.08986, 2021. Link
Shen Y, Zhang J, Letaief K B. How Neural Architectures Affect Deep Learning for Communication Networks?[J]. arXiv preprint arXiv:2111.02215, 2021. Link

2020

Journal

Yang Y, Zhang S, Gao F, et al. Graph Neural Network-Based Channel Tracking for Massive MIMO Networks[J]. IEEE Communications Letters, 2020, 24(8): 1747-1751. Link
Nakashima K, Kamiya S, Ohtsu K, et al. Deep reinforcement learning-based channel allocation for wireless lans with graph convolutional networks[J]. IEEE Access, 2020, 8: 31823-31834. Link
Eisen M, Ribeiro A. Optimal wireless resource allocation with random edge graph neural networks[J]. IEEE Transactions on Signal Processing, 2020, 68: 2977-2991. Link
Naderializadeh N, Eisen M, Ribeiro A. Wireless power control via counterfactual optimization of graph neural networks[C]//2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2020: 1-5. Link
Simsek M, Orhan O, Nassar M, et al. IAB Topology Design: A Graph Embedding and Deep Reinforcement Learning Approach[J]. IEEE Communications Letters, 2020. Link
Wang H, Wu Y, Min G, et al. A Graph Neural Network-based Digital Twin for Network Slicing Management[J]. IEEE Transactions on Industrial Informatics, 2020. Link
Zhu T, Chen X, Chen L, et al. GCLR: GNN-Based Cross Layer Optimization for Multipath TCP by Routing[J]. IEEE Access, 2020, 8: 17060-17070. Link
He K, Chen X, Wu Q, et al. Graph Attention Spatial-Temporal Network with Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction[J]. IEEE Transactions on Mobile Computing, 2020. Link
Zhao D, Qin H, Song B, et al. A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network[J]. Sensors, 2020, 20(18): 5216. Link
Yan Y, Zhang B, Li C, et al. Cooperative Caching and Fetching in D2D Communications-A Fully Decentralized Multi-Agent Reinforcement Learning Approach[J]. IEEE Transactions on Vehicular Technology, 2020, 69(12): 16095-16109. Link
Lee M, Yu G, Li G Y. Graph embedding based wireless link scheduling with few training samples[J]. IEEE Transactions on Wireless Communications, 2020. Link
Liu Y, Lu Y, Li X, et al. On dynamic service function chain reconfiguration in IoT networks[J]. IEEE Internet of Things Journal, 2020, 7(11): 10969-10984. Link
Geyer F, Bondorf S. Graph-based Deep Learning for Fast and Tight Network Calculus Analyses[J]. IEEE Transactions on Network Science and Engineering, 2020. Link
Zhao J, Qu H, Zhao J, et al. Spatiotemporal graph convolutional recurrent networks for traffic matrix prediction[J]. Transactions on Emerging Telecommunications Technologies, 2020, 31(11): e4056. Link
Li J, Sun P, Hu Y. Traffic modeling and optimization in datacenters with graph neural network[J]. Computer Networks, 2020, 181: 107528. Link
Rusek K, Suárez-Varela J, Almasan P, et al. RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(10): 2260-2270. Link
Sun P, Lan J, Li J, et al. Efficient flow migration for NFV with Graph-aware deep reinforcement learning[J]. Computer Networks, 2020, 183: 107575. Link
Yan Z, Ge J, Wu Y, et al. Automatic virtual network embedding: A deep reinforcement learning approach with graph convolutional networks[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(6): 1040-1057. Link
Sun P, Lan J, Li J, et al. Combining Deep Reinforcement Learning With Graph Neural Networks for Optimal VNF Placement[J]. IEEE Communications Letters, 2020. Link
Do Xuan C, Dao M H, Nguyen H D. APT attack detection based on flow network analysis techniques using deep learning[J]. Journal of Intelligent & Fuzzy Systems, 2020, 39(3): 4785-4801. Link

Conference

Eisen M, Ribeiro A. Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks[C]//ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020: 5040-5044. Link
Zhao S, Jiang X, Jacobson G, et al. Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach[C]//2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 2020: 1-9. Link
Rkhami A, Pham T A Q, Hadjadj-Aoul Y, et al. On the Use of Graph Neural Networks for Virtual Network Embedding[C]//2020 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 2020: 1-6. Link
Lee M, Yu G, Li G Y. Wireless Link Scheduling for D2D Communications with Graph Embedding Technique[C]//ICC 2020-2020 IEEE International Conference on Communications (ICC). IEEE, 2020: 1-6. Link
Fu J, Ma N, Ye M, et al. Wireless D2D Network Link Scheduling based on Graph Embedding[C]//2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall). IEEE, 1-5. Link
Yang L, Gu X, Shi H. A Noval Satellite Network Traffic Prediction Method Based on GCN-GRU[C]//2020 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2020: 718-723. Link
He Z, Wang L, Ye H, et al. Resource Allocation based on Graph Neural Networks in Vehicular Communications[C]//GLOBECOM 2020-2020 IEEE Global Communications Conference. IEEE, 2020: 1-5. Link Code
Bahnasy M, Li F, Xiao S, et al. DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis[C]//Proceedings of the Workshop on Network Meets AI & ML. 2020: 48-55. Link
Zhou J, Xu Z, Rush A M, et al. Automating Botnet Detection with Graph Neural Networks[C]. AutoML for Networking and Systems Workshop of MLSys 2020 Conference. Link Data
Suzuki T, Yasuda Y, Nakamura R, et al. On Estimating Communication Delays using Graph Convolutional Networks with Semi-Supervised Learning[C]//2020 International Conference on Information Networking (ICOIN). IEEE, 2020: 481-486. Link
Mo S, Wang Y, Xiao D, et al. Encrypted Traffic Classification Using Graph Convolutional Networks[C]//International Conference on Advanced Data Mining and Applications. Springer, Cham, 2020: 207-219. Link
Sun B, Yang W, Yan M, et al. An encrypted traffic classification method combining graph convolutional network and autoencoder[C]//2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC). IEEE, 2020: 1-8. Link
Geyer F, Bondorf S. On the robustness of deep learning-predicted contention models for network calculus[C]//2020 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2020: 1-7. Link
Xiao S, Mao H, Wu B, et al. Neural Packet Routing[C]//Proceedings of the Workshop on Network Meets AI & ML. 2020: 28-34. Link
Yang C, Zhou Z, Wen H, et al. MSTNN: A graph learning based method for the origin-destination traffic prediction[C]//ICC 2020-2020 IEEE International Conference on Communications (ICC). IEEE, 2020: 1-6. Link
Vinchoff C, Chung N, Gordon T, et al. Traffic Prediction in Optical Networks Using Graph Convolutional Generative Adversarial Networks[C]//2020 22nd International Conference on Transparent Optical Networks (ICTON). IEEE, 2020: 1-4. Link
Gui Y, Wang D, Guan L, et al. Optical Network Traffic Prediction Based on Graph Convolutional Neural Networks[C]//2020 Opto-Electronics and Communications Conference (OECC). IEEE, 2020: 1-3. Link
Sawada K, Kotani D, Okabe Y. Network Routing Optimization Based on Machine Learning Using Graph Networks Robust against Topology Change[C]//2020 International Conference on Information Networking (ICOIN). IEEE, 2020: 608-615. Link
Heo D N, Lange S, Kim H G, et al. Graph Neural Network based Service Function Chaining for Automatic Network Control[C]//2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2020: 7-12. Link
Rafiq A, Khan T A, Afaq M, et al. Service Function Chaining and Traffic Steering in SDN using Graph Neural Network[C]//2020 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2020: 500-505. Link
Sun P, Lan J, Guo Z, et al. DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning[C]//ICC 2020-2020 IEEE International Conference on Communications (ICC). IEEE, 2020: 1-6. Link
Habibi F, Dolati M, Khonsari A, et al. Accelerating Virtual Network Embedding with Graph Neural Networks[C]//2020 16th International Conference on Network and Service Management (CNSM). IEEE, 2020: 1-9. Link
Kim H G, Park S, Heo D, et al. Graph Neural Network-based Virtual Network Function Deployment Prediction[C]//2020 16th International Conference on Network and Service Management (CNSM). IEEE, 2020: 1-7. Link
Kim H G, Park S, Lange S, et al. Graph neural network-based virtual network function management[C]//2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2020: 13-18. Link
Scotti A, Moghadam N N, Liu D, et al. Graph Neural Networks for Massive MIMO Detection[C]. ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+), 2020. Link
Mallick T, Kiran M, Mohammed B, et al. Dynamic graph neural network for traffic forecasting in wide area networks[C]//2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020: 1-10. Link
Gao Z, Eisen M, Ribeiro A. Resource allocation via graph neural networks in free space optical fronthaul networks[C]//GLOBECOM 2020-2020 IEEE Global Communications Conference. IEEE, 2020: 1-6. Link

Preprint

Ferriol-Galmés M, Suárez-Varela J, Barlet-Ros P, et al. Applying Graph-based Deep Learning To Realistic Network Scenarios[J]. arXiv preprint arXiv:2010.06686, 2020. Link
Dong J, Chen S, Ha P Y J, et al. A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network[J]. arXiv preprint arXiv:2010.05437, 2020. Link

2019

Journal

Fang L, Cheng X, Wang H, et al. Idle time window prediction in cellular networks with deep spatiotemporal modeling[J]. IEEE Journal on Selected Areas in Communications, 2019, 37(6): 1441-1454. Link
Geyer F. DeepComNet: Performance evaluation of network topologies using graph-based deep learning[J]. Performance Evaluation, 2019, 130: 1-16. Link
Zhuang Z, Wang J, Qi Q, et al. Toward greater intelligence in route planning: A graph-aware deep learning approach[J]. IEEE Systems Journal, 2019, 14(2): 1658-1669. Link

Conference

Eisen M, Ribeiro A. Large scale wireless power allocation with graph neural networks[C]//2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2019: 1-5. Link
Shen Y, Shi Y, Zhang J, et al. A graph neural network approach for scalable wireless power control[C]//2019 IEEE Globecom Workshops (GC Wkshps). IEEE, 2019: 1-6. Link Code
He K, Huang Y, Chen X, et al. Graph attention spatial-temporal network for deep learning based mobile traffic prediction[C]//2019 IEEE Global Communications Conference (GLOBECOM). IEEE, 2019: 1-6. Link
Geyer F, Schmid S. DeepMPLS: fast analysis of MPLS configurations using deep learning[C]//2019 IFIP Networking Conference (IFIP Networking). IEEE, 2019: 1-9. Link
Geyer F, Bondorf S. DeepTMA: Predicting effective contention models for network calculus using graph neural networks[C]//IEEE INFOCOM 2019-IEEE Conference on Computer Communications. IEEE, 2019: 1009-1017. Link
Suárez-Varela J, Carol-Bosch S, Rusek K, et al. Challenging the generalization capabilities of Graph Neural Networks for network modeling[C]//Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos. 2019: 114-115. Link
Badia-Sampera A, Suárez-Varela J, Almasan P, et al. Towards more realistic network models based on Graph Neural Networks[C]//Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies. 2019: 14-16. Link
Rusek K, Suárez-Varela J, Mestres A, et al. Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN[C]//Proceedings of the 2019 ACM Symposium on SDN Research. 2019: 140-151. Link
Jalodia N, Henna S, Davy A. Deep Reinforcement Learning for Topology-Aware VNF Resource Prediction in NFV Environments[C]//2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2019: 1-5. Link

2018

Journal

Rusek K, Chołda P. Message-passing neural networks learn little’s law[J]. IEEE Communications Letters, 2018, 23(2): 274-277. Link

2017

Journal

Mijumbi R, Hasija S, Davy S, et al. Topology-aware prediction of virtual network function resource requirements[J]. IEEE Transactions on Network and Service Management, 2017, 14(1): 106-120. Link

2016

Conference

Mijumbi R, Hasija S, Davy S, et al. A connectionist approach to dynamic resource management for virtualised network functions[C]//2016 12th International Conference on Network and Service Management (CNSM). IEEE, 2016: 1-9. Link

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