Structure fusion based on graph convolutional networks for semi-supervised classification

Guangfeng Lin, Jing Wang, Kaiyang Liao +2

Suffering from the multi-view data diversity and complexity for semi-supervised classification, most of existing graph convolutional networks focus on the networks architecture con…