/DMG

Primary LanguagePython

DMG: Disentangled Multiplex Graph Representation Learning

This repository contains the reference code for the manuscript ``Disentangled Multiplex Graph Representation Learning"

Contents

  1. Installation
  2. Preparation
  3. Training
  4. Testing

Installation

  • pip install -r requirements.txt
  • Download the datasets
  • Download the trained models

Preparation

Important args:

  • --use_pretrain Test checkpoints
  • --dataset acm, imdb, dblp, freebase
  • --custom_key Node: node classification

Training

python main.py

Testing

use_pretrain == 'True'

Citation

@InProceedings{Mo_ICML_2023, 
title={Disentangled Multiplex Graph Representation Learning}, 
booktitle={Proceedings of the 40st International Conference on Machine Learning}, 
author={Mo, Yujie and Lei, Yajie and Shen, Jialie and Shi, Xiaoshuang and Shen, Heng Tao and Zhu, Xiaofeng},
volume={202},
pages={24983--25005},
year={2023}
}