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ORCIDGNNet@CoNEXT 2022: Roma, Italy
- Pere Barlet-Ros, Pedro Casas, Franco Scarselli, Xiangle Cheng, Albert Cabellos:
Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022. ACM 2022, ISBN 978-1-4503-9933-3 - Dimitrios Panteleimon Giakatos
, Sofia Kostoglou, Pavlos Sermpezis, Athena Vakali:
Benchmarking graph neural networks for internet routing data. 1-6 - Hamid Latif, Jordi Paillisse, Jinze Yang, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Unveiling the potential of graph neural networks for BGP anomaly detection. 7-12 - Mehrdad Kiamari, Bhaskar Krishnamachari:
GCNScheduler: scheduling distributed computing applications using graph convolutional networks. 13-17 - Benedikt Jaeger, Max Helm, Lars Schwegmann, Georg Carle:
Modeling TCP performance using graph neural networks. 18-23 - Martín Randall, Pablo Belzarena, Federico Larroca, Pedro Casas:
GROWS: improving decentralized resource allocation in wireless networks through graph neural networks. 24-29 - Danilo Marinho Fernandes, Jonatan Krolikowski, Zied Ben-Houidi, Fuxing Chen, Dario Rossi:
Cross-network transferable neural models for WLAN interference estimation. 30-35 - Wei Ye, Xinyue Hu, Tian Liu, Ruoyu Sun, Yanhua Li, Zhi-Li Zhang:
5GNN: extrapolating 5G measurements through GNNs. 36-41 - Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. 42-47
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