Self-Supervised Hypergraph Training Framework via Structure-Aware Learning
Hypergraphs, with their ability to model complex, beyond pair-wise correlations, presents a significant advancement over traditional graphs for capturing intricate relational data across diverse domains. However, the integration of hypergraphs into self-supervised learning (SSL) frameworks has been...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 11 vom: 06. Okt., Seite 10160-10176
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| 1. Verfasser: |
Feng, Yifan
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Shiquan,
Ying, Shihui,
Du, Shaoyi,
Wu, Zongze,
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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