Drug-Target Interactions Prediction Based on Signed Heterogeneous Graph Neural Networks
Ming Chen,
Yajian Jiang,
Xiujuan Lei
et al.
Abstract:Drug-target interactions (DTIs) prediction plays an important role in the process of drug discovery. Most computational methods treat it as a binary prediction problem, determining whether there are connections between drugs and targets while ignoring relational types information. Considering the positive or negative effects of DTIs will facilitate the study on comprehensive mechanisms of multiple drugs on a common target, in this work, we model DTIs on signed heterogeneous networks, through categorizing inter… Show more
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