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mis_solver's Introduction

Solving NP-Hard Problems on Graphs by Reinforcement Learning without Domain Knowledge

Pytorch implementation of the above paper

Getting Started

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Directory Structure

  • environ: graph environment (MDP)
  • gcn: graph convolutional netoworks model
  • gin: graph isomophism networks model
  • policy: policy gradient method (REINFORCE)
  • trainer: train with REINFORCE
  • mcts: Monte Carlo Tree Search
  • utils: utils

Reference on Implementation

mis_solver's People

Contributors

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