Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks

Muhammet Balcilar, Guillaume Renton, Pierre Heroux +3

This paper aims at revisiting Graph Convolutional Neural Networks by bridging the gap between spectral and spatial design of graph convolutions. We theoretically demonstrate some e…