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textgcn

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kaiyinzhou / NLPGNN

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1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

nlp tf2 gin gan albert bert message-passing graph-convolutional-networks gcn textcnn graphsage bilstm-attention gnn tensorflow2 gpt2 bert-ner bert-cls albert-ner graph-classfication textgcn
  • Updated Aug 14, 2024
  • Python

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