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GitHub topics: bert-cls

kyzhouhzau/NLPGNN

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

Language: Python - Size: 205 KB - Last synced at: 12 days ago - Pushed at: 9 months ago - Stars: 335 - Forks: 66

Related Keywords
albert 1 albert-ner 1 bert 1 bert-cls 1 bert-ner 1 bilstm-attention 1 gan 1 gcn 1 gin 1 gnn 1 gpt2 1 graph-classfication 1 graph-convolutional-networks 1 graphsage 1 message-passing 1 nlp 1 tensorflow2 1 textcnn 1 textgcn 1 tf2 1