Contrastive multi-graph learning with neighbor hierarchical sifting for semi-supervised text classification

Wei Ai, Jianbin Li, Ze Wang, Yingying Wei, Tao Meng, Keqin Li

Abstract: Highlights•A novel graph-based method for semi-supervised text classification.•A multi-relational text graph based on multiple semantic associations among documents.•A multi-graph learning method consisting of the proposed RW-GCN and CGAN.•A graph contrastive learning approach with neighbor hierarchical sifting strategy.