Install required packages with
pip install -r requirements.txtDownload data from Zenodo and set the DATA_ROOT variable in base.py to point at the data.
The options for running the goodness-of-fit experiments can be found with
python goodness_of_fit.py --helppython goodness_of_fit.py --name threads-math-sx-filtered --learnable_ranks --pipeline cigam -H 0.5,1 --order_max 2 --k_core 2Please cite the paper, data and source code as
@inproceedings{cigam_paper,
title = {Core-periphery Models for Hypergraphs},
author = {Papachristou, Marios and Kleinberg, Jon},
booktitle = {Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining},
year = {2022}
}
@dataset{cigam_datasets,
author = {Papachristou, Marios and Kleinberg, Jon},
title = {Datasets - Core-periphery Models for Hypergraphs},
month = feb,
year = 2022,
publisher = {Zenodo},
doi = {10.5281/zenodo.5943044},
url = {https://doi.org/10.5281/zenodo.5943044}
}
@software{cigam_source_code,
author = {Papachristou, Marios and Kleinberg, Jon},
title = {Code - Core-periphery Models for Hypergraphs},
month = feb,
year = 2022,
publisher = {Zenodo},
doi = {10.5281/zenodo.5965856},
url = {https://doi.org/10.5281/zenodo.5965856}
}