Chao Wu

LLM-H2G: biomedical semantic-enhanced hypergraph contrastive learning for herb–disease association prediction

Herb–disease association prediction is central to computational traditional medicine, but existing graph and hypergraph methods mainly rely on observed topology and underuse biomedical textual semantics, especially in heterogeneous or sparse association networks. We propose LLM-H2G, a biomedical semantic...