We choose 6 representative methods with the best performance: SVM+LDA, CNN-pretrain, LSM-  pretrain, GCN-HIN, TextGCN and HGAT, to study the impact of the number of labeled documents.
we vary the number of labeled documents per class and compare their performance on the AGNews dataset.