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Local SC-FC coupling pattern

Subgraph extraction is based on deep coding tree and gSpan algorithm.

Data availability statement

The data is not publicly available due to permission reasons. The data are available from the corresponding author on reasonable request.

Counterfactual Explanation

The counterfactual interpretation based on local SC-FC coupling is based on the DiCE framework. For more details, please visit: https://github.com/interpretml/DiCE.

How to install

This project was implemented on Python 3.7 and MATLAB R2018b.

Install this project using pip:

pip install gspan-mining
pip install dice-ml

How to run

python -m subgraph_extraction -s [minsup] -l [vertex_lower_limit] -u [vertex_upper_limit] ./graphdata/test_graph.txt
python -m subgraph_extraction -s 2 -l 3 -u 4 ./graphdata/test_graph.txt

Reference

Tsuda, Koji. "Entire regularization paths for graph data." Proceedings of the 24th international conference on Machine learning. 2007.

Yan, Xifeng, and Jiawei Han. "gspan: Graph-based substructure pattern mining." 2002 IEEE International Conference on Data Mining, 2002. Proceedings.. IEEE, 2002.

Mothilal, Ramaravind K., Amit Sharma, and Chenhao Tan. "Explaining machine learning classifiers through diverse counterfactual explanations." Proceedings of the 2020 conference on fairness, accountability, and transparency. 2020.