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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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Results
Found 17 publication records. Showing 17 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | 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 |
DBLP DOI BibTeX RDF |
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| 1 | Xiaoyi Fu, Menghan Shao, Songze Li, Liuqing Yang 0001 |
Active Few-shot Learning For RouteNet-Fermi. |
GNNet@CoNEXT |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Luca Gioacchini, Andrea Cavallo, Marco Mellia, Luca Vassio |
Exploring Temporal GNN Embeddings for Darknet Traffic Analysis. |
GNNet@CoNEXT |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò |
Topological Network Traffic Compression. |
GNNet@CoNEXT |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Max Helm, Georg Carle |
Predicting Latency Quantiles using Network Calculus-assisted GNNs. |
GNNet@CoNEXT |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | 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 |
DBLP DOI BibTeX RDF |
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| 1 | Pere Barlet-Ros, Pedro Casas, Franco Scarselli, José Suárez-Varela, Albert Cabellos (eds.) |
Proceedings of the 2nd on Graph Neural Networking Workshop 2023, GNNet 2023, Paris, France, 8 December 2023 |
GNNet@CoNEXT |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Hamid Latif, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros |
Detecting Contextual Network Anomalies with Graph Neural Networks. |
GNNet@CoNEXT |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Pere Barlet-Ros, Pedro Casas, Franco Scarselli, Xiangle Cheng, Albert Cabellos (eds.) |
Proceedings of the 1st International Workshop on Graph Neural Networking, GNNet 2022, Rome, Italy, 9 December 2022 |
GNNet@CoNEXT |
2022 |
DBLP DOI BibTeX RDF |
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| 1 | Dimitrios Panteleimon Giakatos, Sofia Kostoglou, Pavlos Sermpezis, Athena Vakali |
Benchmarking graph neural networks for internet routing data. |
GNNet@CoNEXT |
2022 |
DBLP DOI BibTeX RDF |
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| 1 | Wei Ye 0009, Xinyue Hu, Tian Liu, Ruoyu Sun 0002, Yanhua Li, Zhi-Li Zhang |
5GNN: extrapolating 5G measurements through GNNs. |
GNNet@CoNEXT |
2022 |
DBLP DOI BibTeX RDF |
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| 1 | Mehrdad Kiamari, Bhaskar Krishnamachari |
GCNScheduler: scheduling distributed computing applications using graph convolutional networks. |
GNNet@CoNEXT |
2022 |
DBLP DOI BibTeX RDF |
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| 1 | 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 |
DBLP DOI BibTeX RDF |
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| 1 | Benedikt Jaeger, Max Helm, Lars Schwegmann, Georg Carle |
Modeling TCP performance using graph neural networks. |
GNNet@CoNEXT |
2022 |
DBLP DOI BibTeX RDF |
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| 1 | Martín Randall, Pablo Belzarena, Federico Larroca, Pedro Casas |
GROWS: improving decentralized resource allocation in wireless networks through graph neural networks. |
GNNet@CoNEXT |
2022 |
DBLP DOI BibTeX RDF |
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| 1 | 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 |
DBLP DOI BibTeX RDF |
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| 1 | Danilo Marinho Fernandes, Jonatan Krolikowski, Zied Ben-Houidi, Fuxing Chen, Dario Rossi 0001 |
Cross-network transferable neural models for WLAN interference estimation. |
GNNet@CoNEXT |
2022 |
DBLP DOI BibTeX RDF |
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