This is the repository for the NeurIPS-21 paper [Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels].

Related tags

Deep Learning CGPN
Overview

CGPN

This is the repository for the NeurIPS-21 paper [Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels].

Requirements

  • PyTorch (1.4.0)

Usage

You can conduct node classification experiments on benchmark datasets (e.g., Cora) by running the 'main.py' file.

Cite

Please cite our paper if you use this code in your own work:

@inproceedings{Wan2021Contrastive,
  title={Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels},
  author={Wan, Sheng and Zhan, Yibing and Liu, Liu and Yu, Baosheng and Pan, Shirui and Gong, Chen},
  booktitle={Thirty-Fifth Conference on Neural Information Processing Systems},
  year={2021}
}
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