Kernelized Hypergraph Neural Networks
Hypergraph Neural Networks (HGNNs) have attracted much attention for high-order structural data learning. Existing methods mainly focus on simple mean-based aggregation or manually combining multiple aggregations to capture multiple information on hypergraphs. However, those methods inherently lack...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 10 vom: 01. Sept., Seite 8938-8954
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| 1. Verfasser: |
Feng, Yifan
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Yifan,
Ying, Shihui,
Du, Shaoyi,
Gao, Yue |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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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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