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kyzhouhzau
NLPGNN kyzhouhzau
65
332
mit
10
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
gan gcn gin gnn nlp tf2 bert gpt2 albert textcnn textgcn bert-cls bert-ner graphsage albert-ner tensorflow2 message-passing bilstm-attention graph-classfication graph-convolutional-networks
Created 2020-02-25
7 commits to master branch, last one 4 years ago