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Publication search results
found 17 matches
- 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: 1-6 - Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò:
Topological Network Traffic Compression. GNNet@CoNEXT 2023: 7-12 - Xiaoyi Fu, Menghan Shao, Songze Li, Liuqing Yang:
Active Few-shot Learning For RouteNet-Fermi. GNNet@CoNEXT 2023: 19-24 - Luca Gioacchini, Andrea Cavallo, Marco Mellia, Luca Vassio:
Exploring Temporal GNN Embeddings for Darknet Traffic Analysis. GNNet@CoNEXT 2023: 31-36 - Max Helm, Georg Carle:
Predicting Latency Quantiles using Network Calculus-assisted GNNs. GNNet@CoNEXT 2023: 13-18 - Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Detecting Contextual Network Anomalies with Graph Neural Networks. GNNet@CoNEXT 2023: 25-30 - 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: 37-43 - 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 [contents] - 2022
- Danilo Marinho Fernandes, Jonatan Krolikowski, Zied Ben-Houidi, Fuxing Chen, Dario Rossi:
Cross-network transferable neural models for WLAN interference estimation. GNNet@CoNEXT 2022: 30-35 - Dimitrios Panteleimon Giakatos, Sofia Kostoglou, Pavlos Sermpezis, Athena Vakali:
Benchmarking graph neural networks for internet routing data. GNNet@CoNEXT 2022: 1-6 - Benedikt Jaeger, Max Helm, Lars Schwegmann, Georg Carle:
Modeling TCP performance using graph neural networks. GNNet@CoNEXT 2022: 18-23 - Mehrdad Kiamari, Bhaskar Krishnamachari:
GCNScheduler: scheduling distributed computing applications using graph convolutional networks. GNNet@CoNEXT 2022: 13-17 - Hamid Latif, Jordi Paillisse, Jinze Yang, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Unveiling the potential of graph neural networks for BGP anomaly detection. GNNet@CoNEXT 2022: 7-12 - Martín Randall, Pablo Belzarena, Federico Larroca, Pedro Casas:
GROWS: improving decentralized resource allocation in wireless networks through graph neural networks. GNNet@CoNEXT 2022: 24-29 - Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. GNNet@CoNEXT 2022: 42-47 - Wei Ye, Xinyue Hu, Tian Liu, Ruoyu Sun, Yanhua Li, Zhi-Li Zhang:
5GNN: extrapolating 5G measurements through GNNs. GNNet@CoNEXT 2022: 36-41 - 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 [contents]
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