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...