Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach
Summary: 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 applicab...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2022-12-01
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| Colección: | STAR Protocols |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2666166722007675 |
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