AI RESEARCH
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
arXiv CS.AI
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ArXi:2403.17210v3 Announce Type: replace-cross Examining Drug-Drug Interactions (DDIs) is a pivotal element in the process of drug development. DDIs occur when one drug's properties are affected by the inclusion of other drugs. Detecting favorable DDIs has the potential to pave the way for creating and advancing innovative medications applicable in practical settings. However, existing DDI prediction models continue to face challenges related to generalization in extreme cases, robust feature extraction, and real-life application possibilities.