HENCE-X

This is the official implement of the paper HENCE-X: Toward Heterogeneity-agnostic Multi-level Explainability for Deep Graph Networks.

Installation

• Clone the repository
• Create the env and install the requirements

$ git clone https://github.com/Gori-LV/HENCE-X
$ cd HENCE-X
$ source ./install.sh

Usage

• Download the required datasets to /data
• Download the checkpoints to /checkpoints
• Run the searching scripts with corresponding dataset.

$ source ./scripts.sh

The hyper-parameters used for different datasets are shown in this script.

Examples

Run *.ipynb files in Jupyter Notebook or Jupyter Lab. We provide examples on how to use HENCE-X to explain individual instances, and show the semantic meanings of output explanation in DBLP, IMDB and MUTAG dataset, respectively.

Citation

Feel free to use our code and keep up with our progress, we kindly request you to cite our work.

@article{lv2023hencex,
  title={HENCE-X: Toward Heterogeneity-Agnostic Multi-Level Explainability for Deep Graph Networks},
  author={Lv, Ge and Zhang, Chen Jason and Chen, Lei},
  journal={Proceedings of the VLDB Endowment},
  volume={16},
  number={11},
  pages={2990--3003},
  year={2023},
  publisher={VLDB Endowment}
}