GNNet@CoNEXT

Publications

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. GNNet@CoNEXT (2023)
Xiaoyi Fu, Menghan Shao, Songze Li, Liuqing Yang
Active Few-shot Learning For RouteNet-Fermi. GNNet@CoNEXT (2023)
Luca Gioacchini, Andrea Cavallo, Marco Mellia, Luca Vassio
Exploring Temporal GNN Embeddings for Darknet Traffic Analysis. GNNet@CoNEXT (2023)
Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò
Topological Network Traffic Compression. GNNet@CoNEXT (2023)
Max Helm, Georg Carle
Predicting Latency Quantiles using Network Calculus-assisted GNNs. GNNet@CoNEXT (2023)
Mohamed Osman, Tamer Nadeem, Ahmed Hemida, Charles A. Kamhoua
Optimizing Honeypot Placement Strategies with Graph Neural Networks for Enhanced Resilience via Cyber Deception. GNNet@CoNEXT (2023)
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023 GNNet@CoNEXT (2023)
Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros
Detecting Contextual Network Anomalies with Graph Neural Networks. GNNet@CoNEXT (2023)

2022