Published February 15, 2024 | Version v1

GNNShap: Scalable and Accurate GNN Explanation using Shapley Values

  • 1. ROR icon Indiana University Bloomington

Description

Source code of "GNNShap: Scalable and Accurate GNN Explanation using Shapley Values"

Please refer to the README.md file for instructions. You can also access it here: https://github.com/HipGraph/GNNShap.

Files

GNNShap-main.zip

Files (9.9 MB)

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Additional details

Software

Repository URL
https://github.com/HipGraph/GNNShap
Programming language
Python , Cuda
Development Status
Active