CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions

arXiv:2403.17210v1 Announce Type: new
Abstract: 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. We aim to address these …

abstract arxiv context cs.ai cs.ir cs.lg development drug development drugs element graph graph learning inclusion interactions pivotal process q-bio.bm q-bio.mn the way type