2 papers
cs.LG2026
Riemannian Liquid Spatio-Temporal Graph Network
Liangsi Lu, Jingchao Wang, Zhaorong Dai +2
Liquid Time-Constant networks (LTCs), a type of continuous-time graph neural network, excel at modeling irregularly-sampled dynamics but are fundamentally confined to Euclidean spa…
cs.LG2025
PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning
Ye Qin, Jingchao Wang, Yang Shi +5
Capsule Networks (CapsNets) show exceptional graph representation capacity via dynamic routing and vectorized hierarchical representations, but they model the complex geometries of…