Heterogeneous graph contrastive learning with gradient balance for drug repositioning
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DOI: 10.1093/bib/bbae650
Abstract: Abstract Drug repositioning, which involves identifying new therapeutic indications for approved drugs, is pivotal in accelerating drug discovery. Recently, to mitigate the effect of label sparsity on inferring potential drug–disease associations (DDAs), graph contrastive learning… read more here.
Keywords: heterogeneous graph; drug repositioning; graph contrastive; gradient balance ... See more keywords