MFHG-DDI: An Enhanced Hybrid Graph Method Leveraging Multiple Features for Predicting Drug–Drug Interactions

Drug-drug interactions (DDIs) can severely affect patient health and safety. Predicting potential DDIs before administering medication to patients is crucial for drug development as it helps to prevent adverse drug reactions. Many effective DDI prediction methods have been proposed using graph neura...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	IEEE Access
المؤلفون الرئيسيون:	Xiang Li, Xiangmin Ji, Chengzhen Xu, Jie Hou, Xiaoyu Zhao, Guodong Peng
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IEEE 2024-01-01
الموضوعات:	Drug-drug interaction multiple features heterogeneous network graph convolutional network graph attention network
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/10786969/