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PyTorch implementation of the paper "Graph Communal Contrastive Learning" (WWW 2022 oral)

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Environment requirments

python >= 3.8
torch == 1.8.1
torch-geometric == 1.7.2

Command

python main.py --dataset Amazon-Computers --param local:amazon_computers.json

Dataset

The multiplex network datasets can downloaded at https://www.dropbox.com/s/48oe7shjq0ih151/data.tar.gz?dl=0

Citation

@inproceedings{li2022graph,
  title={Graph Communal Contrastive Learning},
  author={Li, Bolian and Jing, Baoyu and Tong, Hanghang},
  booktitle={Proceedings of the ACM Web Conference 2022},
  pages={1203--1213},
  year={2022}
}

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PyTorch implementation of the paper "Graph Communal Contrastive Learning" (WWW 2022 oral)

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