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CurvFlow-DTA: dual-graph discrete Ricci curvature flow for drug--target affinity prediction
Graph neural networks are widely used for drug--target affinity (DTA) prediction, and discrete Ricci curvature has recently been used to characterize molecular graph geometry. Existing curvature-aware DTA approaches mainly use static curvature on the drug graph while representing proteins primarily
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