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

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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, indctive gcn, bert.
Detailed usage steps will be introduced soon.

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

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  • Python 100.0%