https://github.com/HongtengXu/Relational-Factorization-Model

Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)
https://github.com/HongtengXu/Relational-Factorization-Model

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Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)

• Host: GitHub
• URL: https://github.com/HongtengXu/Relational-Factorization-Model
• Owner: HongtengXu
• License: gpl-3.0
• Created: 2019-09-20T18:13:17.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2022-11-01T09:05:54.000Z (about 2 years ago)
• Last Synced: 2024-08-01T17:35:52.839Z (4 months ago)
• Language: Python
• Homepage:
• Size: 1.94 MB
• Stars: 29
• Watchers: 5
• Forks: 10
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Relational-Factorization-Model

This package includes the implementation of my AAAI 2020 work **"Gromov-Wasserstein Factorization Models for Graph Clustering"** [https://arxiv.org/abs/1911.08530]

The examples include clustering two graph datasets:

* AIDS (with node attributes)

* IMDB-BINARY (without node attributes)

More data can be found at [https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets]

# Main Dependencies

* matplotlib

* networkx

* numpy

* pandas

* pickle

* pytorch

* typing