core-periphery-hypergraphs

[KDD 2022] Official Code Release for "Core-periphery Models for Hypergraphs"

https://github.com/papachristoumarios/core-periphery-hypergraphs

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 12 DOI reference(s) in README
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Academic publication links
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Academic email domains
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (8.7%) to scientific vocabulary

Keywords

core-periphery data-mining hypergraph inference machine-learning random-graphs sampling

Last synced: 4 months ago · JSON representation ·

Repository

[KDD 2022] Official Code Release for "Core-periphery Models for Hypergraphs"

Basic Info

Host: GitHub
Owner: papachristoumarios
License: mit
Language: Jupyter Notebook
Default Branch: main
Homepage:
Size: 2.14 MB

Statistics

Stars: 3
Watchers: 2
Forks: 0
Open Issues: 0
Releases: 1

Topics

core-periphery data-mining hypergraph inference machine-learning random-graphs sampling

Created over 4 years ago · Last pushed over 3 years ago

Metadata Files

Readme License Citation

Supplementary code for "Core-periphery Models for Hypergraphs"

Setup

Install required packages with

bash pip install -r requirements.txt

Download 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

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

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{cigamsourcecode, 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} } ```

Owner

Name: Marios Papachristou
Login: papachristoumarios
Kind: user
Location: Ithaca, NY
Company: Cornell CS

Website: papachristoumarios.github.io
Twitter: papachristoum
Repositories: 78
Profile: https://github.com/papachristoumarios

Cornell CS PhD Student

Citation (CITATION.cff)

cff-version: 1.1.0
authors:
  - family-names: Papachristou
    given-names: Marios
  - family-names: Kleinberg
    given-names: Jon
title: Core-periphery Models for Hypergraphs
version: 1
date-released: 2022-05-18
references:
  - type: article
    authors:
      - family-names: Papachristou
        given-names: Marios
      - family-names: Kleinberg
        given-names: Jon
    title: Core-periphery Models for Hypergraphs
    journal: 'Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining'
    year: 2022

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