Geometric localized graph convolutional network for multi-view semi-supervised classification

Aiping Huang, Jielong Lu, Zhihao Wu, Zhaoliang Chen, Yuhong Chen, Shiping Wang, Hehong Zhang

Abstract: Highlights•Propose an end-to-end framework for multi-view semi-supervised classification.•Utilize diffusion map to obtain the geometric structure of the feature space of each view.•Propose a truncated diffusion correlation function to obtain a reliable sparse graph.