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Author

Juan Wang

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Oct 2026

Hypergraph Neural Networks: Theoretical Foundations and Applications.

This article elaborate on how HGNNs address the limitations of traditional graph-based models by leveraging hyperedge-based aggregation mechanisms to encode higher-order semantics, and highlights their versatile applications across interdisciplinary fields, including drug discovery, protein interaction prediction, visu...

Yue Gao, Yi-Fan Feng, Xiangmin Han et al. · 0 citations

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