Manifold-based multi-graph embedding for semi-supervised classification

Cong Hu, Jiang-Tao Song, Jia-Sheng Chen, Rui Wang, Xiao-Jun Wu

Abstract: Highlights•A novel manifold-based multi-graph embedding (M2GE) is proposed for semi-supervised classification.•Multi-sampling augmentation is employed to improve the generalization of the model.•M2GE effectively improves the accuracy rate of the semi-supervised classification.