Semi-supervised learning with graph convolutional extreme learning machines

Zijia Zhang, Yaoming Cai, Wenyin Gong

Abstract: Highlights•Classic ELM is generalized into the non-Euclidean domain by using graph convolution.•An ensemble-based graph convolutional ELM is proposed for semi-supervised learning.•The proposed methods are benchmarked on 36 standard UCI datasets.•Our methods significantly outperform many existing methods by a large margin.