{"total":38,"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":"2103.05134","title":"Constrained Learning with Non-Convex Losses","created":"2021-03-08","cited_by_count":42,"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":"2105.01696","title":"Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective","created":"2021-05-03","cited_by_count":12,"area":null},{"id":"2111.07480","title":"Power Allocation for Wireless Federated Learning using Graph Neural Networks","created":"2021-11-15","cited_by_count":7,"area":null},{"id":"2112.02441","title":"DNN-based Policies for Stochastic AC OPF","created":"2021-12-04","cited_by_count":7,"area":null},{"id":"2304.00446","title":"Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks","created":"2023-04-02","cited_by_count":6,"area":null},{"id":"2105.00429","title":"Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach","created":"2021-05-02","cited_by_count":5,"area":null},{"id":"2106.10426","title":"Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee","created":"2021-06-19","cited_by_count":5,"area":null},{"id":"2201.11799","title":"Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks","created":"2022-01-27","cited_by_count":5,"area":null},{"id":"2308.11905","title":"On Using Admissible Bounds for Learning Forward Search Heuristics","created":"2023-08-23","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":"2210.00301","title":"Learning Globally Smooth Functions on Manifolds","created":"2022-10-01","cited_by_count":4,"area":null},{"id":"2112.12373","title":"Decentralized Multi-Task Stochastic Optimization With Compressed Communications","created":"2021-12-23","cited_by_count":3,"area":null},{"id":"2304.09329","title":"Learning to Transmit with Provable Guarantees in Wireless Federated Learning","created":"2023-04-18","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":"2110.07471","title":"Stability Analysis of Unfolded WMMSE for Power Allocation","created":"2021-10-14","cited_by_count":2,"area":null},{"id":"2207.06918","title":"Interference-Limited Ultra-Reliable and Low-Latency Communications: Graph Neural Networks or Stochastic Geometry?","created":"2022-07-11","cited_by_count":2,"area":null},{"id":"2208.01785","title":"On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks","created":"2022-08-02","cited_by_count":2,"area":null},{"id":"2306.01787","title":"Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework","created":"2023-05-31","cited_by_count":2,"area":null},{"id":"2311.03756","title":"Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning","created":"2023-11-07","cited_by_count":2,"area":null},{"id":"2506.02203","title":"Constrained Sliced Wasserstein Embedding","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2304.12660","title":"A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation","created":"2023-04-25","cited_by_count":1,"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":"2102.06099","title":"Sufficiently Accurate Model Learning for Planning","created":"2021-02-11","cited_by_count":0,"area":null},{"id":"2108.10352","title":"Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration","created":"2021-08-23","cited_by_count":0,"area":null},{"id":"2208.03618","title":"An Unsupervised Learning Approach for Spectrum Allocation in Terahertz Communication Systems","created":"2022-08-07","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":"2311.04600","title":"A Deep Learning Based Resource Allocator for Communication Networks with Dynamic User Utility Demands","created":"2023-11-08","cited_by_count":0,"area":null},{"id":"2311.08502","title":"Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE","created":"2023-11-14","cited_by_count":0,"area":null},{"id":"2401.10297","title":"Learning Non-myopic Power Allocation in Constrained Scenarios","created":"2024-01-18","cited_by_count":0,"area":null},{"id":"2502.15306","title":"A Data-Driven Real-Time Optimal Power Flow Algorithm Using Local Feedback","created":"2025-02-21","cited_by_count":0,"area":null},{"id":"2506.03813","title":"Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2509.06395","title":"Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2601.02398","title":"AI-Native Integrated Sensing and Communications for Self-Organizing Wireless Networks: Architectures, Learning Paradigms, and System-Level Design","created":"2025-12-29","cited_by_count":0,"area":null}],"next_cursor":null}