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Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach
Here we present EdgeSHAPer, a workflow for explaining graph neural networks by approximating Shapley values using Monte Carlo sampling. In this protocol, we describe steps to execute Python scripts for a chemical dataset from the original publication; however, this approach is also applicable to any...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700376/ https://www.ncbi.nlm.nih.gov/pubmed/36595907 http://dx.doi.org/10.1016/j.xpro.2022.101887 |