/GREET

A PyTorch implementation of "Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating", AAAI-23

Primary LanguagePythonMIT LicenseMIT

GREET

This is the source code of AAAI'23 paper "Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating".

The proposed framework

Requirements

This code requires the following:

  • Python==3.9
  • Pytorch==1.11.0
  • Pytorch Geometric==2.0.4
  • DGL==0.8.0
  • Numpy==1.21.2
  • Scikit-learn==1.0.2
  • Scipy==1.7.3

Usage

Just run the script corresponding to the dataset you want. For instance:

bash script/run_cora.sh

Cite

If you compare with, build on, or use aspects of this work, please cite the following:

@inproceedings{
liu2023beyond,
title={Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating},
author={Liu, Yixin and Zheng, Yizhen and Zhang, Daokun and Lee, Vincent and Pan, Shirui},
booktitle={AAAI},
year={2023}
}