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GNNet@CoNEXT 2024: Los Angeles, CA, USA
- Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos:
Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop, GNNet 2024, Los Angeles, CA, USA, December 9-12, 2024. ACM 2024, ISBN 979-8-4007-1254-8 - Nelson A. R. A. Passos
, Emanuele Carlini
, Salvatore Trani
:
Deep Community Detection in Attributed Temporal Graphs: Experimental Evaluation of Current Approaches. 1-6 - Andrea Cavallo
, Luca Gioacchini
, Luca Vassio
, Marco Mellia
:
Detecting Edge and Node Anomalies with Temporal GNNs. 7-13 - Carlos Güemes-Palau
, Miquel Ferriol Galmés
, Jordi Paillissé Vilanova
, Albert Lopez-Bresco, Pere Barlet-Ros
, Albert Cabellos-Aparicio
:
Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling. 14-19 - Johannes Späth
, Max Helm
, Benedikt Jaeger
, Georg Carle
:
Sim2HW: Modeling Latency Offset Between Network Simulations and Hardware Measurements. 20-26 - Eloi Campeny-Roig
, Ismael Castell-Uroz
, Pere Barlet-Ros
:
AST-GNN: A Graph Neural Network for Web Tracking Detection. 27-32 - Daniel Alfasi
, Tal Shapira
, Anat Bremler-Barr
:
VulnScopper: Unveiling Hidden Links Between Unseen Security Entities. 33-40 - Louis Van Langendonck
, Ismael Castell-Uroz
, Pere Barlet-Ros
:
Towards a Graph-based Foundation Model for Network Traffic Analysis. 41-45 - Mariana del Castillo
, Alejandro Ribeiro
, Federico Larroca
:
EGNN-based Topology Control in Wireless Mobile Infrastructure on Demand with Shared Access Restrictions. 46-52 - Brigitte Jaumard
, Charles Boudreau
, Emil Janulewicz
:
Dynamic Service Function Chaining Provisioning with Reinforcement Learning Graph Neural Networks. 53-58

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