Cui-Na Jiao

MTP-DDA: Enhanced Drug-Disease Associations Prediction via Multi-task Learning with Multi-view Graph Convolutional Networks and Contrastive Learning

Predicting drug-disease associations (DDAs) plays a crucial role in drug development and disease treatment. However, existing researches predominantly focus on single DDAs prediction task, often overlooking the intricate relationships among different tasks, which can further improve the performance