Deep graph contrastive learning model for drug-drug interaction prediction

• Main Authors: Jiang, Zhenyu, Gong, Zhi, Dai, Xiaopeng, Zhang, Hongyan, Ding, Pingjian, Shen, Cong
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Deep learning; Drug interaction
• Online Access: https://hdl.handle.net/10356/179646
• Institution: Nanyang Technological University

Drug-drug interaction (DDI) is the combined effects of multiple drugs taken together, which can either enhance or reduce each other's efficacy. Thus, drug interaction analysis plays an important role in improving treatment effectiveness and patient safety. It has become a new challenge to use c...