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Learning fuzzy representations for hypergraph node classification

Abstract As an extension of standard graphs, hypergraphs have demonstrated significant advantages in modeling high-order complex relationships compared with standard graphs. Existing literature has witnessed the great success of hypergraph representation learning methods in classifying nodes. Howeve...

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Detalles Bibliográficos
Principais autores: Zhishu Sun, Ruijing Geng, Ge Zhang
Formato: Artigo
Idioma:Inglês
Publicado: Nature Portfolio 2026-05-01
Series:Scientific Reports
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Acceso en liña:https://doi.org/10.1038/s41598-026-51027-7
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