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
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Updated
Aug 14, 2024 - Python