BUPT-GAMMA / LafAK

The code of paper "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" (ICDM 2020)

LafAK

The code of paper Adversarial Label-Flipping Attack and Defense for Graph Neural Networks (ICDM 2020)

Usage

python LafAK.py

Requirements

• Python 3.6.7
• Tensorflow 1.11.0
• Detailed requirements

Datasets

We have uploaded the split data of Cora, Citeseer and Pubmed in the data/ folder.

Reference

@inproceedings{DBLP:conf/icdm/ZhangHSW20,
  author    = {Mengmei Zhang and 
               Linmei Hu and
               Chuan Shi and
               Xiao Wang},
  title     = {Adversarial Label-Flipping Attack and Defense for Graph Neural Networks},
  booktitle = {20th {IEEE} International Conference on Data Mining, {ICDM} 2020,
               Sorrento, Italy, November 17-20, 2020},
  pages     = {791--800},
  publisher = {{IEEE}},
  year      = {2020},
  url       = {https://doi.org/10.1109/ICDM50108.2020.00088},
  doi       = {10.1109/ICDM50108.2020.00088},
  timestamp = {Wed, 17 Feb 2021 11:24:58 +0100},
  biburl    = {https://dblp.org/rec/conf/icdm/ZhangHSW20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

More details will be published soon (^▽^)