GOAT

Here is the source code for the article 'Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack' published on Information Sciences.

The primary model (GOAT) is achieved by TensorFlow in version 1.0; another version of TensorFlow 2.0 will be offered in the future.

DouBan_small

We offered a small dataset extracted from DouBan to help to check whether the code is runnable.

Dao_atk.py

The data-processing module.

AttackGenerator_xx.py

Shilling attack model initializing and training.

GenerateFromModel.py

Generate fake profiles after the model was saved.

Other tips

*How to use it: (in command line) 'python AttackGenerator_xx.py'

*It would take a while at the first running for data processing, and the results will be saved locally.

*The final generated ratings do not contain attack targets, please add them manually if needed.

Further questions, please contact the corresponding author.