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GNN-Communication-Networks

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

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创建于 2021-03-31 · 更新于 2026-10-15 · 今日第 6617 名
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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
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Conference

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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
  • Latif-Martínez H, Suárez-Varela J, Cabellos-Aparicio A, et al. GAT-AD: Graph Attention Networks for contextual anomaly detection in network monitoring[J]. Computers & Industrial Engineering, 2024: 110830. Link
  • Dai M, Gong T, Zhang S. Graph Convolutional Network-Based Channel Extrapolation for Hybrid RIS-Aided Communication[J]. IEEE Wireless Communications Letters, 2024. Link
  • Liu Z, Zhang J, Shi E, et al. Graph neural network meets multi-agent reinforcement learning: Fundamentals, applications, and future directions[J]. IEEE Wireless Communications, 2024. Link
  • Hao X, She C, Yeoh P L, et al. Hybrid-Task Meta-Learning: A GNN Approach for Scalable and Transferable Bandwidth Allocation[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Messinis S, El Marai O, Protonotarios N E, et al. Roads Digital Twin: Predictive Situational Awareness Using 360° Video Streaming and Graph Neural Networks[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • Al-Absi G A, Fang Y, Qaseem A A. STC-GraphFormer: Graph Spatial-Temporal Correlation Transformer for In-vehicle Network Intrusion Detection System[J]. Vehicular Communications, 2024: 100865. Link
  • Wang Q, Wang X, Liu H, et al. A Domain Adaptive IoT Intrusion Detection Algorithm Based on GWR-GCN Feature Extraction and Conditional Domain Adversary[J]. IEEE Internet of Things Journal, 2024. Link
  • Xiaoyu Z, Peihan Q, Qi L, et al. A graph-based semi-supervised approach for few-shot class-incremental modulation classification[J]. China Communications, 2024. 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
  • Dai B, Li H, Huang W. Distributed on-demand Routing Algorithm with Graph Representation Learning for Industrial IoT[J]. IEEE Transactions on Network Science and Engineering, 2024. Link
  • Sun H, Liao X, Wang J, et al. Fast and Scalable ACL Policy Solving Under Complex Constraints With Graph Neural Networks[J]. IEEE/ACM Transactions on Networking, 2024. Link
  • Chen D, Zhang W, Gao D, et al. GFlow: GNN-Based Optimal Flow Scheduling for Multipath Transmission with Link Overlapping[J]. IEEE Transactions on Network Science and Engineering, 2024. Link
  • Luo J, Fei Z, Wang X, et al. GNN Based Resource Allocation for Digital Twin-Enhanced Multi-UAV Radar Networks[J]. IEEE Wireless Communications Letters, 2024. Link
  • Wu H, Tian L, Tang H, et al. Graph Convolutional Reinforcement Learning-Guided Joint Trajectory Optimization and Task Offloading for Aerial Edge Computing[J]. IEEE Transactions on Intelligent Transportation Systems, 2024. Link
  • Jiang W, Han H, Zhang Y, et al. Graph Neural Networks for Routing Optimization: Challenges and Opportunities[J]. Sustainability, 2024, 16(21): 9239. Link
  • Huang Z, Yu F R, Cai J. Knowledge Collaboration-Based Resource Allocation in 6G IoT: A Graph Attention RL Approach[J]. IEEE Internet of Things Journal, 2024. Link
  • Jie Y, Jingchao H, Nan C, et al. Multilayer satellite network collaborative mobile edge caching: A GCN-based multi-agent approach[J]. China Communications, 2024, 21(11): 56-74. Link
  • Xu A, Hu Z, Li X, et al. TransEdge: Task Offloading with GNN and DRL in Edge Computing-Enabled Transportation Systems[J]. IEEE Internet of Things Journal, 2024. Link
  • Hu H, Xie Z, Shi H, et al. Unsupervised Power Allocation Based on Combination of Edge Aggregated Graph Attention Network with Deep Unfolded WMMSE[J]. IEEE Transactions on Vehicular Technology, 2024. Link Code
  • Shen J, Lin Y, Zhang Y, et al. Content Caching-Assisted Vehicular Edge Computing Using Multi-Agent Graph Attention Reinforcement Learning[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • Kim J, Cho Y, Kim J. Edge Convolution Graph Neural Network assisted Power Allocation for Wireless IoT Networks[J]. IEEE Access, 2024. Link
  • Pan Y, Wang X, Xu Z, et al. GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network[J]. IEEE Internet of Things Journal, 2024. Link Code
  • Wang S, Zhang S, Ma J, et al. Graph Neural Network-Based WiFi Indoor Localization System With Access Point Selection[J]. IEEE Internet of Things Journal, 2024. Link
  • Zhang S, Liu A, Han C, et al. GRLR: Routing With Graph Neural Network and Reinforcement Learning for Mega LEO Satellite Constellations[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • Li X, Zhang S, Li H, et al. RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Wan S, Wang Z, Zhou Y. Scalable Hybrid Beamforming for Multi-User MISO Systems: A Graph Neural Network Approach[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Mehrabian A, Wong V W S. Joint Spectrum, Precoding, and Phase Shifts Design for RIS-Aided Multiuser MIMO THz Systems[J]. IEEE Transactions on Communications, 2024. Link Code
  • Ma H, Gu Y, Wu H, et al. A dual incentive mechanism based on graph attention neural network and contract in mobile opportunistic networks[J]. Physical Communication, 2024, 67: 102485. Link
  • Wang X, Guan K, He D, et al. Graph Neural Network enabled Propagation Graph Method for Channel Modeling[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • Jiang Q, Xu X, Bilal M, et al. Potential game based distributed IoV service offloading with graph attention networks in mobile edge computing[J]. IEEE Transactions on Intelligent Transportation Systems, 2024. Link
  • Yonghui H, Zuodong J, Peng Q, et al. Task offloading and resource allocation in NOMA-VEC: A multi-agent deep graph reinforcement learning algorithm[J]. China Communications, 2024, 21(8): 79-88. Link
  • Geng Z, She C, Wang R, et al. Zero-Shot Learning for Beam Management in LEO Satellite Communications[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Esmaeili B, Azmoodeh A, Dehghantanha A, et al. A GNN-Based adversarial internet of things Malware Detection Framework for critical infrastructure: Studying Gafgyt, Mirai and Tsunami campaigns[J]. IEEE Internet of Things Journal, 2024. Link Code
  • Li F, Lin J, Wang Y, et al. Distributed Hierarchical Temporal Graph Learning for Communication-Efficient High-Dimensional Industrial IoT Modeling[J]. IEEE Internet of Things Journal, 2024. Link
  • Tran D H, Park M. FN-GNN: A Novel Graph Embedding Approach for Enhancing Graph Neural Networks in Network Intrusion Detection Systems[J]. Applied Sciences, 2024, 14(16): 6932. Link
  • Ahmadi M, Moayyedi A, Sulaiman M, et al. Generalizable 5G RAN/MEC Slicing and Admission Control for Reliable Network Operation[J]. IEEE Transactions on Network and Service Management, 2024. Link
  • Li Y, Lu Y, Ai B, et al. GNN-based beamforming for sum-rate maximization in MU-MISO networks[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Wang Z, Bennis M, Zhou Y. Graph Attention-based MADRL for Access Control and Resource Allocation in Wireless Networked Control Systems[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Gu Y, She C, Bi S, et al. Graph Neural Network for Distributed Beamforming and Power Control in Massive URLLC Networks[J]. IEEE Transactions on Wireless Communications, 2024. Link Code
  • Kumar G R S, Arul Geetha G. Graph neural networks based queuing model for optimal load balancing in mobile ad hoc network[J]. International Journal of Communication Systems, e5922, 2024. Link
  • Wu Y, Liu J, Wang C, et al. Graph Transformer and LSTM Attention for VNF Multi-Step Workload Prediction in SFC[J]. IEEE Transactions on Network and Service Management, 2024. Link
  • Feng Z, Wu D, Huang M, et al. Graph Attention-Based Reinforcement Learning for Trajectory Design and Resource Assignment in Multi-UAV Assisted Communication[J]. IEEE Internet of Things Journal, 2024. Link
  • Yang M, Zhai D, Zhang R, et al. Joint Admission and Power Control for Massive Connections via Graph Neural Network[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • Liu J, Xu Z, Wang C, et al. Mobility-Aware MEC Planning With a GNN-Based Graph Partitioning Framework[J]. IEEE Transactions on Network and Service Management, 2024. Link
  • Yang Y, Feng L, Sun Y, et al. Multi-cluster Cooperative Offloading for VR Task: A MARL Approach with Graph Embedding[J]. IEEE Transactions on Mobile Computing, 2024. Link
  • Zhang P, Li Y, Vasilakos A V, et al. Optimizing network resource allocation with graph pointer neural network in large-scale AI systems[J]. Digital Communications and Networks, 2024. Link
  • Wang C, Peng J, Cai L, et al. Proactive Bandwidth Allocation for V2X Networks with Multi-attentional Deep Graph Learning[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Jiang Z, Li J, Hu Q, et al. Scalable Graph-Aware Edge Representation Learning for Wireless IoT Intrusion Detection[J]. IEEE Internet of Things Journal, 2024. Link
  • Guo J, Yang C. A Model-based GNN for Learning Precoding[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Zhuang W, Mao Y, He H, et al. Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection[J]. IEEE Wireless Communications Letters, 2024. Link
  • Wang Y, Wu H, Li R. Deep Graph Reinforcement Learning for Mobile Edge Computing: Challenges and Solutions[J]. IEEE Network, 2024. Link Code
  • Li F, Yang J, Lam K Y, et al. Dynamic spectrum access for Internet-of-Things with joint GNN and DQN[J]. Ad Hoc Networks, 2024: 103596. Link
  • Chen B J, Chang R Y, Chien F T, et al. Energy-Efficient Multi-RIS-Aided Rate-Splitting Multiple Access: A Graph Neural Network Approach[J]. IEEE Wireless Communications Letters, 2024. Link
  • Zhang J, Miao C W, Huang J Q, et al. Fractional function energy efficiency optimization in wireless networks: A graph convolutional network approach[J]. Ad Hoc Networks, 2024, 160: 103509. Link
  • Wang S, Cao H, Yang L, et al. GCN-Based Multi-Agent Deep Reinforcement Learning for Dynamic Service Function Chain Deployment in IoT[J]. IEEE Transactions on Consumer Electronics, 2024. Link
  • Sun W, Zou Y, Guan N, et al. Graph Attention Network–Based Deep Reinforcement Learning Scheduling Framework for in-Vehicle Time-Sensitive Networking[J]. IEEE Transactions on Industrial Informatics, 2024. Link
  • Marwani M, Kaddoum G. Graph Neural Networks Approach for Joint Wireless Power Control and Spectrum Allocation[J]. IEEE Transactions on Machine Learning in Communications and Networking, 2024. Link Code
  • Ding M, Guo Y, Huang Z, et al. GROM: A generalized routing optimization method with graph neural network and deep reinforcement learning[J]. Journal of Network and Computer Applications, 2024, 229: 103927. Link
  • Ros S, Tam P, Song I, et al. Handling Efficient VNF Placement with Graph-Based Reinforcement Learning for SFC Fault Tolerance[J]. Electronics, 2024, 13(13): 2552. Link
  • Li B, Perazzone J, Swami A, et al. Learning to Transmit with Provable Guarantees in Wireless Federated Learning[J]. IEEE Transactions on Wireless Communications, 2024. Link Code
  • Yang J, Jiang X, Lei Y, et al. MTSecurity: Privacy-Preserving Malicious Traffic Classification using Graph Neural Network and Transformer[J]. IEEE Transactions on Network and Service Management, 2024. Link
  • Wang T, Ouyang X, Sun D, et al. Offloading Strategy Based on Graph Neural Reinforcement Learning in Mobile Edge Computing[J]. Electronics, 2024, 13(12): 2387. Link
  • Jamshidiha S, Pourahmadi V, Mohammadi A, et al. Power allocation using spatio-temporal graph neural networks and reinforcement learning[J]. Wireless Networks, 2024: 1-14. Link
  • Daneshvar S M M H, Mazinani S M. Training a Graph Neural Network to solve URLLC and eMBB coexisting in 5G networks[J]. Computer Communications, 2024. Link
  • Wang T, Shen L, Fan Q, et al. Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning[J]. IEEE Transactions on Services Computing, 2024. Link Code
  • Adeogun D A R, Berardinelli G. Power control for 6G in-factory subnetworks with partial channel information using graph neural networks[J]. IEEE Open Journal of the Communications Society, 2024. Link
  • Lin J, Lan T, Zhang B, et al. Multi-Scenario Cellular KPI Prediction Based on Spatiotemporal Graph Neural Network[J]. IEEE Transactions on Automation Science and Engineering, 2024. Link
  • Zhang C, Yin J, Deng S. Ensuring Fairness in Edge Networks: A GNN-Based Media Workload Migration Scheme With Fairness Guarantee[J]. IEEE Transactions on Services Computing, 2024. Link
  • Wang Y, Li Y, Shi Q, et al. Engnn: A general edge-update empowered gnn architecture for radio resource management in wireless networks[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Zhao X, Peng C, Ding H, et al. An integrated graph data privacy attack framework based on graph neural networks in IoT[J]. Concurrency and Computation: Practice and Experience, e8209, 2024. Link
  • Zhong M, Lin M, Zhang C, et al. A Survey on Graph Neural Networks for Intrusion Detection Systems: Methods, Trends and Challenges[J]. Computers & Security, 2024: 103821. Link
  • Pei X, Deng X, Tian S, et al. A Privacy-Preserving Graph Neural Network for Network Intrusion Detection[J]. IEEE Transactions on Dependable and Secure Computing, 2024. Link
  • Wu Z, Ding D, Xiu Y, et al. Robust QoS prediction based on reputation integrated graph convolution network[J]. IEEE Transactions on Services Computing, 2024. Link
  • Ghasemi A, Zeraatkar E, Moradikia M, et al. Adversarial Attacks on Graph Neural Networks based Spatial Resource Management in P2P Wireless Communications[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • Yang J, Xu J, Zhang Y, et al. Graph attention network-based precoding for reconfigurable intelligent surfaces aided wireless communication systems[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • Zhang X, Zhao H, Xiong J, et al. Decentralized Routing and Radio Resource Allocation in Wireless Ad Hoc Networks via Graph Reinforcement Learning[J]. IEEE Transactions on Cognitive Communications and Networking, 2024. Link Code
  • Li X, Chen M, Hu Y, et al. Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach[J]. IEEE Transactions on Wireless Communications, 2024. Link
  • Cao Z, Deng X, Yue S, et al. Dependent Task Offloading in Edge Computing Using GNN and Deep Reinforcement Learning[J]. IEEE Internet of Things Journal, 2024. Link
  • Tan Y, Liu J, Wang J. 5G End-To-End Slice Embedding Based on Heterogeneous Graph Neural Network and Reinforcement Learning[J]. IEEE Transactions on Cognitive Communications and Networking, 2024. Link
  • Xu R, Wu G, Wang W, et al. Applying self-supervised learning to network intrusion detection for network flows with graph neural network[J]. Computer Networks, 2024: 110495. Link Code
  • Chang L, Branco P. Embedding residuals in graph-based solutions: the E-ResSAGE and E-ResGAT algorithms. A case study in intrusion detection[J]. Applied Intelligence, 2024: 1-16. Link
  • Zhang P, Wang E, Luo Z, et al. Energy-Efficient Virtual Network Embedding: A Deep Reinforcement Learning Approach Based on Graph Convolutional Networks[J]. Electronics, 2024, 13(10): 1918. Link
  • Park J, Choi B, Lee C, et al. Graph Neural Network-Based SLO-Aware Proactive Resource Autoscaling Framework for Microservices[J]. IEEE/ACM Transactions on Networking, 2024. Link
  • Wu Y, Nie L, Xiong X, et al. Incremental Update Intrusion Detection for Industry 5.0 Security: A Graph Attention Network-Enabled Approach[J]. IEEE Transactions on Consumer Electronics, 2024. Link
  • Yang H, Cheng N, Sun R, et al. Knowledge-Driven Resource Allocation for Wireless Networks: A WMMSE Unrolled Graph Neural Network Approach[J]. IEEE Internet of Things Journal, 2024. Link
  • Shi Y, Wang W, Zhu X, et al. Low Earth Orbit Satellite Network Routing Algorithm Based on Graph Neural Networks and Deep Q-Network[J]. Applied Sciences, 2024, 14(9): 3840. Link
  • Lian L, Chen N, Yuan X, et al. Low-complexity collaborative caching strategy based on spatio-temporal graph convolutional model[J]. Computer Networks, 2024: 110490. Link
  • Chen Z, Ge W, Fei H, et al. A lightweight graph neural networks based enhanced separated detection scheme for downlink MIMO-SCMA systems[J]. IEICE Transactions on Communications, 2024. Link
  • Alam S, Diaz Rivera J J, Sarwar M M S, et al. Assuring Efficient Path Selection in an Intent-Based Networking System: A Graph Neural Networks and Deep Reinforcement Learning Approach[J]. Journal of Network and Systems Management, 2024, 32(2): 41. Link
  • Narayanan S, Archana K S. Auto metric graph neural network optimized with woodpecker mating algorithm for detecting network layer attacks in mobile ad hoc networks[J]. Smart Science, 2024: 1-14. Link
  • Guo Z, Li F, Shen J, et al. ConfigReco: Network configuration recommendation with graph neural networks[J]. IEEE Network, 2024. Link
  • Han X, Xu G, Zhang M, et al. DE-GNN: Dual embedding with graph neural network for fine-grained encrypted traffic classification[J]. Computer Networks, 2024: 110372. Link
  • Yeh T J, Tsai W C, Chen C W, et al. Enhanced-GNN with Angular CSI for Beamforming Design in IRS-Assisted mmWave Communication Systems[J]. IEEE Communications Letters, 2024. Link
  • Liu C, Aggarwal V, Lan T, et al. FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design[J]. IEEE/ACM Transactions on Networking, 2024. Link Code
  • Luu V C, Hong J P. GNN-Based Meta-Learning Approach for Adaptive Power Control in Dynamic D2D Communications[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • He C, Li Y, Lu Y, et al. ICNet: GNN-Enabled Beamforming for MISO Interference Channels with Statistical CSI[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • Zhao B, Wu J, Ma Y, et al. Meta-Learning for Wireless Communications: A Survey and a Comparison to GNNs[J]. IEEE Open Journal of the Communications Society, 2024. Link
  • Liu S, Guo J, Yang C. Multidimensional graph neural networks for wireless communications[J]. IEEE Transactions on Wireless Communications, 2024. Link Data
  • Du A, Jia J, Chen J, et al. Online two-timescale service placement for time-sensitive applications in MEC-assisted network: A TMAGRL approach[J]. Computer Networks, 2024, 244: 110339. Link
  • Dhamala B K, Dawadi B R, Manzoni P, et al. Performance Evaluation of Graph Neural Network-Based RouteNet Model with Attention Mechanism[J]. Future Internet, 2024, 16(4): 116. Link
  • Liu M, Xu H, Sheng Q Z, et al. QoSGNN: Boosting QoS Prediction Performance with Graph Neural Networks[J]. IEEE Transactions on Services Computing, 2024. Link
  • Sun Q, He Y, Petrosian O. Resource allocation in heterogeneous network with node and edge enhanced graph attention network[J]. Applied Intelligence, 2024: 1-13. Link
  • Huang S, Wei Y, Peng L, et al. xNet: Modeling Network Performance With Graph Neural Networks[J]. IEEE/ACM Transactions on Networking, 2024. Link
  • Tam P, Ros S, Song I, et al. A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches[J]. Electronics, 2024, 13(5): 994. Link
  • Li Y, Lu Y, Ai B, et al. GNN-Enabled Max-Min Fair Beamforming[J]. IEEE Transactions on Vehicular Technology, 2024. Link
  • Xia W, He D, Yu L. Locational detection of false data injection attacks in smart grids: A graph convolutional attention network approach[J]. IEEE Internet of Things Journal, 2024. Link
  • Kannamma R, Umadevi K S. An efficient frame preemption algorithm for time-sensitive networks using enhanced graph convolutional network with particle swarm optimization[J]. Measurement: Sensors, 2024, 31: 100964. Link
  • Huang S, Zhang H, Wang X, et al. Fine-Grained Spatio-Temporal Distribution Prediction of Mobile Content Delivery in 5G Ultra-Dense Networks[J]. IEEE Transactions on Mobile Computing, 2024. Link
  • Zhao J, Tang T, Bu B, et al. Graph neural network‐based attack prediction for communication‐based train control systems[J]. CAAI Transactions on Intelligence Technology, 2024. Link
  • Peng Y, Guo J, Yang C. Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?[J]. IEEE Transactions on Machine Learning in Communications and Networking, 2024. Link
  • Zhao L, He C, Zhu X. A Fault Diagnosis Method for 5G Cellular Networks Based on Knowledge and Data Fusion[J]. Sensors, 2024, 24(2): 401. Link
  • Ngo D T, Aouedi O, Piamrat K, et al. Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities[J]. Future Internet, 2023, 15(12): 377. Link
  • Chen H, Chen P, Wang B, et al. Graph neural network based robust anomaly detection at service level in SDN driven microservice system[J]. Computer Networks, 2024, 239: 110135. Link
  • Lyu S, Peng L, Chang S Y. Investigating Large-Scale RIS-Assisted Wireless Communications Using GNN[J]. IEEE Transactions on Consumer Electronics, 2024. Link
  • He J, Cheng N, Yin Z, et al. Load-Aware Network Resource Orchestration in LEO Satellite Network: A GAT-Based Approach[J]. IEEE Internet of Things Journal, 2024. Link
  • Zhong L, Chen Z, Cheng H, et al. Lightweight Federated Graph Learning for Accelerating Classification Inference in UAV-assisted MEC Systems[J]. IEEE Internet of Things Journal, 2024. Link

Conference

  • Zheng B, Liang H, Ling J, et al. Integrating Graph Neural Networks with Multi-Agent Deep Reinforcement Learning for Dynamic V2X Communication[C]//2024 20th International Conference on Mobility, Sensing and Networking (MSN). IEEE Computer Society, 2024: 398-405. Link
  • He Y, Xiao G, Liang Y, et al. A graph reinforcement learning routing scheme based on nodes and edges co-embedding[C]//ICC 2024-IEEE International Conference on Communications. IEEE, 2024: 5431-5436. Link
  • Yuan Y, Lei D, Zhang C, et al. Achieving Privacy-Preserving and Scalable Graph Neural Network Prediction in Cloud Environments[C]//ICC 2024-IEEE International Conference on Communications. IEEE, 2024: 4632-4637. Link
  • Mehrabian A, Wong V W S. Adaptive bandwidth allocation in multiuser MIMO THz systems with graph-transformer networks[C]//ICC 2024-IEEE International Conference on Communications. IEEE, 2024: 367-372. Link
  • Campeny-Roig E, Castell-Uroz I, Barlet-Ros P. AST-GNN: A Graph Neural Network for Web Tracking Detection[C]//Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop. 2024: 27-32. Link Code
  • Chan K L, Chien F T, Chang R Y. Beamforming and Load-Balanced User Association in RIS-Aided Systems via Graph Neural Networks[C]//ICC 2024-IEEE International Conference on Communications. IEEE, 2024: 4997-5002. Link
  • Shibli A, Zanouda T. Data-driven radio environment map estimation using graph neural networks[C]//2024 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2024: 650-655. Link
  • Cavallo A, Gioacchini L, Vassio L, et al. Detecting Edge and Node Anomalies with Temporal GNNs[C]//Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop. 2024: 7-13. Link Code
  • Jaumard B, Boudreau C, Janulewicz E. Dynamic Service Function Chaining Provisioning with Reinforcement Learning Graph Neural Networks[C]//Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop. 2024: 53-58. Link
  • Malik A W, Khan S U. Dynamic Task Offloading in Connected Vehicles: Leveraging a Graph Neural Networks Approach for Multi-hop Search[C]//2024 IEEE International Performance, Computing, and Communications Conference (IPCCC). IEEE, 2024: 1-8. Link
  • del Castillo M, Ribeiro A, Larroca F. EGNN-based Topology Control in Wireless Mobile Infrastructure on Demand with Shared Access Restrictions[C]//Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop. 2024: 46-52. Link Code
  • Zaeri K, Abdelmoniem A M. EMPRN: Reinforcement Learning-based ECN Tuning Using Message Passing Graph Recurrent Networks for Datacenters[C]//ICC 2024-IEEE International Conference on Communications. IEEE, 2024: 4668-4673. Link
  • Chen L, Zhu J, Evans J. Gnn-based joint channel and power allocation in heterogeneous wireless networks[C]//2024 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2024: 233-238. Link
  • Temesgene D A, Biyar E D, Silva A, et al. Graph Neural Network for Building Prediction Agents in Intent-Based Zero-Touch Networks[C]//ICC 2024-IEEE International Conference on Communications. IEEE, 2024: 974-979. Link
  • Varadarajulu S, Baeza V M, Querol J, et al. Graph neural network pooling for BCH channel decoding in software defined satellites[C]//2024 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2024: 1328-1333. Link
  • Perera T, Atapattu S, Fang Y, et al. Graph neural networks for physical-layer security in multi-user flexible-duplex networks[C]//ICC 2024-IEEE International Conference on Communications. IEEE, 2024: 2294-2299. Link
  • Mal M, Gong C, Zeng L, et al. Mogr: Multi-task offloading via graph representation in heterogeneous computing network[C]//ICC 2024-IEEE International Conference on Communications. IEEE, 2024: 1237-1242. Link
  • Rizzello V, Amor D B, Joham M, et al. Scalable multi-user precoding and pilot optimization with graph neural networks[C]//ICC 2024-IEEE International Conference on Communications. IEEE, 2024: 2956-2961. Link
  • Späth J, Helm M, Jaeger B, et al. Sim2HW: Modeling Latency Offset Between Network Simulations and Hardware Measurements[C]//Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop. 2024: 20-26. Link Code
  • Van Langendonck L, Castell-Uroz I, Barlet-Ros P. Towards a graph-based foundation model for network traffic analysis[C]//Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop. 2024: 41-45. Link
  • Alfasi D, Shapira T, Bremler-Barr A. VulnScopper: Unveiling Hidden Links Between Unseen Security Entities[C]//Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop. 2024: 33-40. Link
  • Güemes-Palau C, Ferriol-Galmés M, Paillisse-Vilanova J, et al. Wavelet-enhanced graph neural networks: towards non-parametric network traffic modeling[C]//Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop. 2024: 14-19. Link Code
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