Skip to content
/ HAGNN Public

Hybrid Aggregation for Heterogeneous Graph Neural Networks

Notifications You must be signed in to change notification settings

PasaLab/HAGNN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

HAGNN

source code of Hybrid Aggregation for Heterogeneous Graph Neural Networks

Quick start

pip install -r requirements.txt 

The dataset can be obtain in HGB. After obtaining data sets, you can enter the NC or LP folder to perform node classification and link prediction tasks. For node classification task, run

cd NC
python run_new.py --dataset DBLP

For link prediction tasks, run

cd LP
python run_dist.py --dataset PubMed

About

Hybrid Aggregation for Heterogeneous Graph Neural Networks

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages