Graph Convolutional Networks With Adaptive Neighborhood Awareness
Graph convolutional networks (GCNs) can quickly and accurately learn graph representations and have shown powerful performance in many graph learning domains. Despite their effectiveness, neighborhood awareness remains essential and challenging for GCNs. Existing methods usually perform neighborhood...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 11 vom: 18. Okt., Seite 7392-7404
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| 1. Verfasser: |
Guang, Mingjian
(VerfasserIn) |
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| Weitere Verfasser: |
Yan, Chungang,
Xu, Yuhua,
Wang, Junli,
Jiang, Changjun |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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