Nannan Zong

ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning

Learning representations on graphs is foundational for many downstream tasks, and its synergy with diffusion models has emerged as a promising direction. However, diffusion-based methods for heterogeneous graphs remain underexplored, confronting two principal challenges: (1) The presence of noise an