GNN-meta-attack-pytorch
Pytorch implementation of the paper Adversarial Attacks on Graph Neural Networks via Meta Learning.
Original implementation in Tensorflow by Daniel Zügner is available here. https://github.com/danielzuegner/gnn-meta-attack
Dependencies
- Python 3.6+
- Pytorch 1.0.1+
- numpy
- scipy
Run the code
sh run_attack.sh
Citation to the original paper
@inproceedings{zugner_adversarial_2019,
title = {Adversarial Attacks on Graph Neural Networks via Meta Learning},
author={Z{\"u}gner, Daniel and G{\"u}nnemann, Stephan},
booktitle={International Conference on Learning Representations (ICLR)},
year = {2019}
}