Heterogeneous Graph Contrastive Learning for Motif Prediction
Researchers propose a computational approach using heterogeneous graph learning to predict drug-gene-disease associations and support drug discovery.
Researchers propose a computational approach using heterogeneous graph learning to predict drug-gene-disease associations and support drug discovery.