https://github.com/kyzhouhzau/nlpgnn

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

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

Last synced: 05 Apr 2025