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Implemetation of Deep Insights into Noisy Pseudo Labeling on Graph Data NeurIPS2023

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Deep Insights into Noisy Pseudo Labeling on Graph Data

This is a PyTorch implementation of Deep Insights into Noisy Pseudo Labeling on Graph Data, NeurIPS 2023, Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung

Node classification

python main_node.py 

Link prediction

Refer to the folder "/Link" for different base models. For example, if you with to run on GAE, you can use

python ./Link/GAE/run_multiview.py 

Citation

@article{wang2023deepinsight,
  title={Deep Insights into Noisy Pseudo Labeling on Graph Data},
  author={Wang, Botao and Li, Jia and Liu, Yang and Cheng, Jiashun and Rong, Yu and Wang, Wenjia and Tsung, Fugee},
  journal={NeurIPS},
  year={2023}
}

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