SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug–drug interactions
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DOI: 10.1093/bioinformatics/btac250
Abstract: Abstract Motivation Predicting side effects of drug–drug interactions (DDIs) is an important task in pharmacology. The state-of-the-art methods for DDI prediction use hypergraph neural networks to learn latent representations of drugs and side effects to… read more here.
Keywords: drug interactions; drug drug; latent; multiple types ... See more keywords