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Code for ICLR'22 "Why Propagate Alone? Parallel Use of Labels and Features on Graphs"

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Label Tricks of Node Classifcation on Graphs



This is a pytorch implementation of Label Trick. This is the experiment code in the following work:

Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf.
ICLR 2022

Prerequisites

  • Python 3.6
  • Pytorch 1.8.0
  • DGL 0.6.0

References

If you find this work helpful in your research, please consider citing the following paper. The bibtex are listed below:

@article{wang2021propagate,
  title={Why Propagate Alone? Parallel Use of Labels and Features on Graphs},
  author={Wang, Yangkun and Jin, Jiarui and Zhang, Weinan and Yang, Yongyi and Chen, Jiuhai and Gan, Quan and Yu, Yong and Zhang, Zheng and Huang, Zengfeng and Wipf, David},
  journal={ICLR},
  year={2022}
}

Acknowledgement

This code is mainly written by Yangkun Wang.

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Code for ICLR'22 "Why Propagate Alone? Parallel Use of Labels and Features on Graphs"

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