Author

Jun Zhang

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Open access Sep 2026

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...

Jun Zhang, Hengchuang Yin, Chao Wu et al. · BMC Bioinformatics · 0 citations

Open access Sep 2026

Evaluating Large‐Language Models in Bioinformatics Applications

Large language models (LLMs) have significantly revolutionized natural language processing through their strong capabilities in text generation and reasoning. Yet, their applicability to bioinformatics applications remains largely unexplored. Here, we systematically evaluate state‐of‐the‐art LLMs across six represent...

Hengchuang Yin, Zi-Wen Cui, Dong-Xu Li et al. · Advanced Computing · 0 citations