Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks

Yang Li, Yuichi Tanaka

In this paper, we propose a spatial graph convolution (GC) to classify signals on a graph. Existing GC methods are limited to using the structural information in the feature space.…