A library to compute Shapley values in graphs.
Project description
ShapG: a fast and exactly approach to approximate the Shaple value on graph
If you find this code useful in your research, please consider citing:
- For centralities measures:
@article{zhao2024centralitymeasuresopiniondynamics, title={Centrality measures and opinion dynamics in two-layer networks with replica nodes}, author={Chi Zhao and Elena Parilina}, year={2024}, eprint={2406.18780}, archivePrefix={arXiv}, primaryClass={physics.soc-ph}, journal={arXiv preprint arXiv:2406.18780}, url={https://arxiv.org/abs/2406.18780}, } - For the new method for explanable ai:
@article{zhao2024shapgnewfeatureimportance, title={ShapG: new feature importance method based on the Shapley value}, author={Chi Zhao and Jing Liu and Elena Parilina}, year={2024}, eprint={2407.00506}, archivePrefix={arXiv}, primaryClass={cs.AI}, journal={arXiv preprint arXiv:2407.00506}, url={https://arxiv.org/abs/2407.00506}, }
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