1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
What is the kyzhouhzau/NLPGNN GitHub project? Description: "1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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