Understanding Graph Neural Networks from Graph Signal Denoising Perspectives

1 code implementation • 8 Jun 2020 • Guoji Fu, Yifan Hou, Jian Zhang, Kaili Ma, Barakeel Fanseu Kamhoua, James Cheng

This paper aims to provide a theoretical framework to understand GNNs, specifically, spectral graph convolutional networks and graph attention networks, from graph signal denoising perspectives.

Denoising Graph Attention +2