ConNHS, a multi-graph contrastive learning method with neighbor hierarchical sifting, reports accuracy 95.86%, 97.52%, 87.43%, and 70.65% on ThuCNews, SogouNews, 20NG, and Ohsumed.
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Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification
ConNHS, a multi-graph contrastive learning method with neighbor hierarchical sifting, reports accuracy 95.86%, 97.52%, 87.43%, and 70.65% on ThuCNews, SogouNews, 20NG, and Ohsumed.