Graphlime: Local interpretable model explanations for graph neural networks. Huang, Q., Yamada, M., Tian, Y., Singh, D., & Chang, Y. IEEE Transactions on Knowledge and Data Engineering, IEEE, 2022. bibtex @article{huang2022graphlime,
title={Graphlime: Local interpretable model explanations for graph neural networks},
author={Huang, Qiang and Yamada, Makoto and Tian, Yuan and Singh, Dinesh and Chang, Yi},
journal={IEEE Transactions on Knowledge and Data Engineering},
year={2022},
publisher={IEEE}
}
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