Graph neural networks for network analysis
<p>With an increasing number of applications where data can be represented as graphs, graph neural networks (GNNs) are a useful tool to apply deep learning to graph data. Signed and directed networks are important forms of networks that are linked to many real-world problems, such as ranking f...
Prif Awdur: | He, Y |
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Awduron Eraill: | Dong, X |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
2024
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Pynciau: |
Eitemau Tebyg
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JGNN: Graph Neural Networks on native Java
gan: Emmanouil Krasanakis, et al.
Cyhoeddwyd: (2023-07-01) -
Auto-GNN: Neural architecture search of graph neural networks
gan: Kaixiong Zhou, et al.
Cyhoeddwyd: (2022-11-01) -
FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction
gan: Arnold Kazadi, et al.
Cyhoeddwyd: (2024-01-01) -
Graph neural networks with a distribution of parametrized graphs
gan: Lee, See Hian, et al.
Cyhoeddwyd: (2024) -
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
gan: Emmanouil Krasanakis, et al.
Cyhoeddwyd: (2022-01-01)