Andrey Kormilitzin

Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning

Dynamic graphs exhibit complex temporal dynamics due to the interplay between evolving node features and changing network structures. Recently, Graph Neural Controlled Differential Equations (Graph Neural CDEs) successfully adapted Neural CDEs from paths on Euclidean domains to paths on graph domain…