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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 10 vom: 01. Sept., Seite 8938-8954
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| Auteur principal: |
Feng, Yifan
(Auteur) |
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| Autres auteurs: |
Zhang, Yifan,
Ying, Shihui,
Du, Shaoyi,
Gao, Yue |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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