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cs.LG2026
Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion
Xuling Zhang, Peng Wang, Daiyan Li +3
Most graph neural network (GNN) cores rely on graph convolutions, typically implemented as message passing between direct (single-hop) neighbors. In many real-world graphs, edges c…
cs.LG2025
Constants of motion network revisited
Wenqi Fang, Chao Chen, Yongkui Yang +1
Discovering constants of motion is meaningful in helping understand the dynamical systems, but inevitably needs proficient mathematical skills and keen analytical capabilities. Wit…