Yu Yin

DSCrisk: A dual-view and substructure aware based method for drug-drug interaction risk-level prediction enhanced by contrastive learning.

A deep-learning framework that employs graph neural networks (GNNs) to encode a dual-view representation comprising molecular graphs and the DDI topology network and a partner-guided attention mechanism improves interpretability by revealing critical substructures associated with DDI risk.