Multi-order hypergraph convolutional networks integrated with self-supervised learning
Abstract Hypergraphs, as a powerful representation of information, effectively and naturally depict complex and non-pair-wise relationships in the real world. Hypergraph representation learning is useful for exploring complex relationships implicit in hypergraphs. However, most methods focus on the...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2023-01-01
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| Col·lecció: | Complex & Intelligent Systems |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s40747-022-00964-7 |
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