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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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