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GNNet@CoNEXT 2023: Paris, France
- Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos:
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023. ACM 2023 - Paul Almasan, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. 1-6 - Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò:
Topological Network Traffic Compression. 7-12 - Max Helm, Georg Carle:
Predicting Latency Quantiles using Network Calculus-assisted GNNs. 13-18 - Xiaoyi Fu, Menghan Shao, Songze Li, Liuqing Yang:
Active Few-shot Learning For RouteNet-Fermi. 19-24 - Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Detecting Contextual Network Anomalies with Graph Neural Networks. 25-30 - Luca Gioacchini, Andrea Cavallo, Marco Mellia, Luca Vassio:
Exploring Temporal GNN Embeddings for Darknet Traffic Analysis. 31-36 - Mohamed Osman, Tamer Nadeem, Ahmed Hemida, Charles A. Kamhoua:
Optimizing Honeypot Placement Strategies with Graph Neural Networks for Enhanced Resilience via Cyber Deception. 37-43
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