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cs.LG2026
CurvFlow-DTA: dual-graph discrete Ricci curvature flow for drug--target affinity prediction
Jicheng Ma, Yunyan Yang, Juan Zhao +1
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. Exis…
cs.LG2026
Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow
Jicheng Ma, Yunyan Yang, Juan Zhao +1
We introduce the Geometric Evolution Graph Convolutional Network (GEGCN), a novel framework that enhances graph representation learning through explicit modeling of geometric evolu…