Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

Summary

Denoising graphs is a fundamental problem in graph learning and the core operation of graph diffusion models. Attention-based architectures like graph transformers have recently shown promise in denoising graphs.