Tao Lin

HGKAN: Hypergraph Kolmogorov-Arnold Networks for Interpretable Prediction of Herb-Symptom Associations.

With the increasing availability of large-scale traditional Chinese medicine (TCM) data, accurate prediction of herb-symptom associations (HSAs) has become a crucial task in natural drug discovery. Existing computational approaches mainly employ graph neural networks (GNNs) to model herb-symptom relationships in biolog...