SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation

Qi Yan, Zhengyang Liang, Yang Song +2

Diffusion models based on permutation-equivariant networks can learn permutation-invariant distributions for graph data. However, in comparison to their non-invariant counterparts,…