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NLPGNN

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
kaiyinzhou
kaiyinzhou
Maintainer
336 stars
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About this project
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing. Maintained by kaiyinzhou on GitHub, where it has earned 336 stars from the community.
It's actively developed around albert, albert-ner, bert, and is a solid reference for anyone building with these tools.
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Install
npm install NLPGNN
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Python100%
Last updated2 years ago
LicenseMIT
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