/MSPaper

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

Primary LanguagePython

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

For confidentiality, only the main code is made public. All code and detailed usage steps will be introduced soon.

There are mainly two parts for my code. One for Chinese datasets, the other for English datasets.
For each dataset, I have tried twelve methods: text gcn, inductive gcn, bert,etc.