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Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications

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Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications

This repository is the implementation for the paper: "Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications"

The code is devided into two folders corresponding to each section. The depedencies and runtime requirements are specified in the README for each folder.

Project Page

For more information please refer to our project page.

Citation

If you would like to cite our work, the bibtex is:

@article{pezeshkpour2019investigating,
title={Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications},
author={Pezeshkpour, Pouya and Tian, Yifan and Singh, Sameer},
journal={arXiv preprint arXiv:1905.00563},
year={2019}
}

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Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications


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Language:Jupyter Notebook 58.0%Language:Python 41.2%Language:Shell 0.8%