Self-Supervised Heterogeneous Graph Model Predicts Drug Target Interactions Without Manual Labels
Researchers have introduced MMCDTI, an adaptive self-supervised contrastive learning model that predicts drug–target interactions on heterogeneous graphs without requiring manual ...
