Juergen Kurths

SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning

Diffusion probabilistic models (DPMs) have recently demonstrated impressive generative capabilities. There is emerging evidence that their sample reconstruction ability can yield meaningful representations for recognition tasks. In this paper, we demonstrate that the objectives underlying generation…