Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective

Hongwei Zhang, Tijin Yan, Zenjun Xie +2

Graph convolutional networks (GCNs) have achieved promising performance on various graph-based tasks. However they suffer from over-smoothing when stacking more layers. In this pap…