graph-classfication

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kyzhouhzau / NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
tensorflow2 bert gpt2 albert bert-ner bert-cls textcnn bilstm-attention albert-ner tf2 message-passing gcn gin gan graph-convolutional-networks graphsage graph-classfication textgcn nlp gnn
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