Showing 1–18 of 18 results
/ Date/ Name
May 27, 2022Network Digital Twin: Context, Enabling Technologies and OpportunitiesSep 21, 2022Fast Traffic Engineering by Gradient Descent with Learned Differentiable RoutingJan 21, 2023Leveraging Spatial and Temporal Correlations for Network Traffic CompressionNov 9, 2023Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural NetworksJan 4, 2022Digital Twin Network: Opportunities and ChallengesSep 7, 2023Enhancing 5G Radio Planning with Graph Representations and Deep LearningMar 22, 2018Securing the Control-plane Channel and Cache of Pull-based ID/LOC ProtocolsOct 16, 2019Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use caseOct 11, 2025Data-Driven Deployment of Reconfigurable Intelligent Surfaces in Cellular NetworksJun 17, 2021Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open ChallengesSep 22, 2021ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement LearningOct 10, 2025Site-Specific RIS Deployment in Cellular Networks via Calibrated Ray TracingOct 3, 2019RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDNSep 15, 2025Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The QuestionMar 12, 2026Direct-to-Device Connectivity for Integrated Communication, Navigation and SurveillanceDec 29, 2021Graph Neural Networks for Communication Networks: Context, Use Cases and OpportunitiesFeb 1, 2022Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary StrategiesJul 26, 2021The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks