From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks
This work investigates hypergraph oversmoothing from a dynamical-systems perspective and develops a reaction--diffusion framework for depth-resistant hypergraph learning, which introduces a reaction mechanism acting on the transverse component to compensate diffusion-induced dissipation and stabilize discriminative var...