Entropy-aware self-training for graph convolutional networks

Gongpei Zhao, Tao Wang, Yidong Li, Yi Jin, Congyan Lang

Abstract: Highlights•An entropy-aggregation layer proposed to strengthen reasoning ability of GCN.•An ingenious checking part based on self-training to enhance node classification.•Sufficient experiments and analyses to validate the superiority of ES-GCN.