Skip to content

GhostQ99/RobustTrainingGNN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

RobustTrainingGNN

Code for the paper "Robust Training of Graph Neural Networks via Noise Governance", WSDM 2023 link.

Train

bash example.sh 0 ##gpu_id

Acknowledgement

Part of our code is built based on NRGNN and GAug, thanks to their authors for the great works.

Cite

@inproceedings{qian2023robust,
author = {Qian, Siyi and Ying, Haochao and Hu, Renjun and Zhou, Jingbo and Chen, Jintai and Chen, Danny Z. and Wu, Jian},
title = {Robust Training of Graph Neural Networks via Noise Governance},
booktitle = {Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining},
year = {2023},
pages = {607–615},
publisher = {Association for Computing Machinery}
}

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published