{"total":26,"rows":[{"id":"2203.10800","title":"Graph Neural Networks for Wireless Communications: From Theory to Practice","created":"2022-03-21","cited_by_count":46,"area":null},{"id":"2106.02533","title":"Graph-based Deep Learning for Communication Networks: A Survey","created":"2021-06-04","cited_by_count":21,"area":null},{"id":"2104.09027","title":"Decentralized Inference with Graph Neural Networks in Wireless Communication Systems","created":"2021-04-19","cited_by_count":18,"area":null},{"id":"2301.03377","title":"Machine Learning for Large-Scale Optimization in 6G Wireless Networks","created":"2023-01-03","cited_by_count":18,"area":null},{"id":"2203.11012","title":"Learning Resilient Radio Resource Management Policies with Graph Neural Networks","created":"2022-03-07","cited_by_count":17,"area":null},{"id":"2104.05463","title":"Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks","created":"2021-04-12","cited_by_count":14,"area":null},{"id":"2207.02242","title":"State-Augmented Learnable Algorithms for Resource Management in Wireless Networks","created":"2022-07-05","cited_by_count":14,"area":null},{"id":"2108.13178","title":"Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks","created":"2021-08-04","cited_by_count":13,"area":null},{"id":"2212.04047","title":"Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions","created":"2022-12-08","cited_by_count":8,"area":null},{"id":"2208.06963","title":"Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks","created":"2022-08-15","cited_by_count":5,"area":null},{"id":"2301.00757","title":"ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks","created":"2022-12-14","cited_by_count":5,"area":null},{"id":"2110.01722","title":"Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels","created":"2021-10-04","cited_by_count":4,"area":null},{"id":"2212.00860","title":"A Model-based GNN for Learning Precoding","created":"2022-12-01","cited_by_count":3,"area":null},{"id":"2406.15819","title":"Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning","created":"2024-06-22","cited_by_count":3,"area":null},{"id":"2407.15320","title":"Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence","created":"2024-07-07","cited_by_count":3,"area":null},{"id":"2503.03736","title":"Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2506.18748","title":"Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression","created":"2025-06-23","cited_by_count":3,"area":null},{"id":"2106.07984","title":"Learning Autonomy in Management of Wireless Random Networks","created":"2021-06-15","cited_by_count":2,"area":null},{"id":"2307.12480","title":"Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?","created":"2023-07-24","cited_by_count":2,"area":null},{"id":"2407.09753","title":"Biased Backpressure Routing Using Link Features and Graph Neural Networks","created":"2024-07-13","cited_by_count":2,"area":null},{"id":"2310.00248","title":"Learning State-Augmented Policies for Information Routing in Communication Networks","created":"2023-09-30","cited_by_count":1,"area":null},{"id":"2203.03906","title":"Designing Heterogeneous GNNs with Desired Permutation Properties for Wireless Resource Allocation","created":"2022-03-08","cited_by_count":0,"area":null},{"id":"2210.16412","title":"A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2407.07742","title":"Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial","created":"2024-06-29","cited_by_count":0,"area":null},{"id":"2511.06663","title":"GNN-Enabled Robust Hybrid Beamforming with Score-Based CSI Generation and Denoising","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2511.12071","title":"Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread","created":"2025-11-15","cited_by_count":0,"area":null}],"next_cursor":null}