google-research

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Fair Correlation Clustring
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This is the implementation accompanying the AISTATS 2020 paper,
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[_Fair Correlation Clustering_](https://arxiv.org/abs/2002.02274).
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Example Usage:
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First, create a fresh virtual environment and install the requirements.
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    # From google-research/
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    virtualenv -p python3 .
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    source ./bin/activate
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    python3 -m pip install -r graph_embedding/fair_correlation_clustering/requirements.txt
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How to run:
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-------
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You can run our experiments with the following:
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    python3 -m fair_correlation_clustering.correlation_clustering \
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      --input_graph=GRAPH.edgelist \
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      --output_results=RESULTS.json
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Citing
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If you find _Fair Correlation Clustering_ useful in your research, we ask that
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you cite the following paper:
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> Ahmadian, S., Epasto, A., Mahdian, M., Kumar, R. (2020).
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> Fair Correlation Clustering.
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> In _AISTATS_.
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    @inproceedings{ahmadian2020fair,
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     author={Ahmadian, Epasto, Mahdian, Kumar}
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     title={Fair Correlation Clustering},
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     booktitle = {AISTATS},
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     year = {2020},
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    }
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Contact Us
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For questions or comments about the implementation, please contact
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<aepasto@google.com>.
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