Modularity Optimization as a Training Criterion for Graph Neural Networks

Tsuyoshi Murata, Naveed Afzal

Graph convolution is a recent scalable method for performing deep feature learning on attributed graphs by aggregating local node information over multiple layers. Such layers only…