The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"

Last update: Nov 13, 2022

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Deep Learning SHGNN

Overview

SHGNN: Structure-Aware Heterogeneous Graph Neural Network

The source code and dataset of the paper: SHGNN: Structure-Aware Heterogeneous Graph Neural Network.

Requirements

The framework is implemented using python3 with dependencies specified in requirements.txt.

git clone https://github.com/Wentao-Xu/SHGNN.git
cd SHGNN
conda create -n shgnn python=3.8
conda activate shgnn
pip install -r requirements.txt

Dataset preparation

source prepare_data.sh
tar -zxvf data.tar.gz
mkdir checkpoint

Running the code

# IMDB dataset
python run_IMDB.py

# DBLP dataset
python run_DBLP.py

# ACM dataset
python run_ACM.py

Owner

Wentao Xu

Ph.D. Student in a Joint Program between Microsoft Research Asia and Sun Yat-sen University.

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The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"

Related tags

Overview

SHGNN: Structure-Aware Heterogeneous Graph Neural Network

Requirements

Dataset preparation

Running the code

Owner

Wentao Xu

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The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"

Related tags

Overview

SHGNN: Structure-Aware Heterogeneous Graph Neural Network

Requirements

Dataset preparation

Running the code

Owner

Wentao Xu

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