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

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

Science Score: 13.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: aida-ugent
  • Language: Python
  • Default Branch: main
  • Size: 19.5 KB
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  • Stars: 1
  • Watchers: 3
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Created almost 5 years ago · Last pushed over 4 years ago
Metadata Files
Readme

README.md

README

Source code for paper: Explanations for Network Embedding-based Link Prediction

  • This folder contains the source code for Explanations for Network Embedding-based Link Prediction

Set up

  • Environment: Python 3.6+

  • Requirement

    • numpy 1.15.3
    • scipy 1.1.0
    • pandas 0.23.4
    • matplotlib 3.0.0
    • tqdm 4.29.0

Datasets

  • Karate: https://en.wikipedia.org/wiki/Zachary%27skarateclub
  • Game of Thrones: https://github.com/mathbeveridge/asoiaf
  • MovieLens: https://grouplens.org/datasets/movielens/100k/
  • DBLP dataset V10: https://aminer.org/citation

Run

  • Karate illustrative example: run script 'experiment_karate.py'

Results

  • The figures can be found under subfolder 'figures'
  • The table results are printed in the terminal.

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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