/MSPaper

Light Text Classification Algorithm Based on Graph Convolutional Neural Network via Importance Sampling

Primary LanguagePython

MSPaper

Light Text Classification Algorithm Based on Graph Convolutional Neural Network via Importance Sampling

There are mainly two parts for my code. One for Chinese datasets, the other for English datasets.
For each dataset, I have tried four methods: text gcn, text sgc, inductive gcn, bert.
Detailed usage steps will be introduced soon.