Heterogeneous Graph Contrastive Learning for Drug-Gene-Disease Motif Prediction
Hongsheng Xie, Yuan Gao, Shanlin Ke, Can Chen
HANAMI improves drug-gene-disease motif prediction by integrating heterogeneous biomedical data and using graph contrastive learning, achieving up to 6% better performance than existing methods.
bioRxiv · Sep 26, 2026 · PreprintBioinformatics