Adversarial label-flipping attack and defense for graph neural networks
- Dominant language
- No language data
- Stars
- 0
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
[Adversarial label-flipping attack and defense for graph neural networks](https://ieeexplore.ieee.org/abstract/document/9338299/)
[Adversarial_Label-Flipping_Attack_and_Defense_for_Graph_Neural_Networks.pdf](https://github.com/user-attachments/files/17553398/Adversarial_Label-Flipping_Attack_and_Defense_for_Graph_Neural_Networks.pdf)
```bib
@inproceedings{zhang2020adversarial,
title={Adversarial label-flipping attack and defense for graph neural networks},
author={Zhang, Mengmei and Hu, Linmei and Shi, Chuan and Wang, Xiao},
booktitle={2020 IEEE International Conference on Data Mining (ICDM)},
pages={791--800},
year={2020},
organization={IEEE}
}
```
Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.