https://github.com/ml-jku/vag-co

https://github.com/ml-jku/vag-co

Last synced: about 2 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/ml-jku/vag-co
• Owner: ml-jku
• Created: 2023-10-06T10:44:14.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-22T13:32:39.000Z (over 1 year ago)
• Last Synced: 2025-04-05T13:23:32.594Z (2 months ago)
• Language: Python
• Size: 6.17 MB
• Stars: 11
• Watchers: 5
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.markdown

Awesome Lists containing this project

README

        
# Variational Annealing on Graphs for Combinatorial Optimization

This repository is the official implementation of "Variational Annealing". 

Use /DatasetCreator to create datasets. \

Use /MeanField to run experiment with MFA and EGN. \

Use /VAG-CO to run experiments with VAG-CO.

All of these Folders have their own README that explains how to run experiments or create datasets.

## Requirements

To install requirements:

```setup

conda env create -f environment.yml

```