EVALUATION OF KNOWLEDGE GRAPH EMBEDDING APPROACHES FOR DRUG-DRUG INTERACTION PREDICTION IN REALISTIC SETTINGS

Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings

Abstract Background Current approaches to identifying drug-drug interactions (DDIs), include safety studies during drug development and post-marketing surveillance after approval, offer important opportunities to identify potential safety issues, but are unable to provide complete set of all possible DDIs.Thus, the drug discovery researchers and he

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