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https://github.com/aida-ugent/grab

Source code for GraB: Quantifying and Reducing Imbalance in Networks

https://github.com/aida-ugent/grab

Science Score: 13.0%

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Repository

Source code for GraB: Quantifying and Reducing Imbalance in Networks

Basic Info
  • Host: GitHub
  • Owner: aida-ugent
  • License: other
  • Language: Python
  • Default Branch: master
  • Size: 1.46 MB
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created almost 5 years ago · Last pushed over 4 years ago
Metadata Files
Readme License

Readme.md

Quantifying and Reducing Imbalance in Networks

Code style: black

This repository contains the source code, installation and use instructions for the method presented in the paper:

Mashayekhi, Yoosof, Bo Kang, Jefrey Lijffijt, and Tijl De Bie. "Quantifying and reducing imbalance in networks." In RECSYS IN HR 2021, vol. 2967. CEUR, 2021.

We provide Python implementations of the complete GraB model. The repository is maintained by Yoosof Mashayekhi (yoosof.mashayekhi(at)ugent.be).

Installation

Install directly from GitHub with:

$ pip install git+https://github.com/aida-ugent/GraB.git

Note: GraB code has been extensively tested and is stable under Python 3.6.9, thus this is the recommendend environment.

data folder:

data.csv: graph links

roles.csv: roles with start id, end id and node type in each row. It is used for the block prior

types.csv: roles with start id, end id and node type in each row. It is not used for the block prior [optional]

For emd solver install GLPK and Pulp (or follow the steps in https://wihoho.github.io/2013/08/18/EMD-Python.html)

Owner

  • Name: Ghent University Artificial Intelligence & Data Analytics Group
  • Login: aida-ugent
  • Kind: organization
  • Email: tijl.debie@ugent.be
  • Location: Ghent

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