https://github.com/papachristoumarios/core-periphery-hypergraphs
[KDD 2022] Official Code Release for "Core-periphery Models for Hypergraphs"
https://github.com/papachristoumarios/core-periphery-hypergraphs
core-periphery data-mining hypergraph inference machine-learning random-graphs sampling
Last synced: 7 months ago
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[KDD 2022] Official Code Release for "Core-periphery Models for Hypergraphs"
- Host: GitHub
- URL: https://github.com/papachristoumarios/core-periphery-hypergraphs
- Owner: papachristoumarios
- License: mit
- Created: 2021-07-06T22:14:37.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-05-23T22:14:41.000Z (over 3 years ago)
- Last Synced: 2025-01-12T18:37:46.624Z (9 months ago)
- Topics: core-periphery, data-mining, hypergraph, inference, machine-learning, random-graphs, sampling
- Language: Jupyter Notebook
- Homepage:
- Size: 2.14 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
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README
# Supplementary code for "Core-periphery Models for Hypergraphs"
## Setup
Install required packages with
```bash
pip install -r requirements.txt
```
Download [data](https://doi.org/10.5281/zenodo.5943043) 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
```bash
python goodness_of_fit.py --help
```
## Examples
```bash
python goodness_of_fit.py --name threads-math-sx-filtered --learnable_ranks --pipeline cigam -H 0.5,1 --order_max 2 --k_core 2
```
## Zenodo Links
* [Datasets](https://doi.org/10.5281/zenodo.5943043)
* [Source Code](https://doi.org/10.5281/zenodo.5965856)
## Citation
Please cite the paper, data and source code as
```bibtex
@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}
}
```