2 papers
cs.LG2026
Dynamic Graph Structure Learning via Resistance Curvature Flow
Chaoqun Fei, Huanjiang Liu, Tinglve Zhou +2
Geometric Representation Learning (GRL) aims to approximate the non-Euclidean topology of high-dimensional data through discrete graph structures, grounded in the manifold hypothes…
cs.LG2025
Efficient Curvature-aware Graph Network
Chaoqun Fei, Tinglve Zhou, Tianyong Hao +1
Graph curvature provides geometric priors for Graph Neural Networks (GNNs), enhancing their ability to model complex graph structures, particularly in terms of structural awareness…