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Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

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InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Tested on pytorch 1.6.0 and pytorch_geometric 1.6.1

Experiments reported on the paper are conducted in 2019 with pytorch_geometric==1.3.1. Note that the code regarding of QM9 dataset in pytorch_geometric has been changed since then. Thus, if you run this codebase with pytorch_geometric>=1.6.1, you may obtain results different from those reported on the paper.

Citation

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

@inproceedings{sun2019infograph,
  title={InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization},
  author={Sun, Fan-Yun and Hoffman, Jordan and Verma, Vikas and Tang, Jian},
  booktitle={International Conference on Learning Representations},
  year={2019}
}

We thank the following work: Deep InfoMax

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Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

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