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GitHub / kyzhouhzau / NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kyzhouhzau%2FNLPGNN
Stars: 331
Forks: 64
Open Issues: 6
License: mit
Language: Python
Repo Size: 205 KB
Dependencies:
0
Created: over 4 years ago
Updated: about 1 month ago
Last pushed: almost 4 years ago
Last synced: about 1 month ago
Topics: 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
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