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EdgeSHAPer: Bond-centric Shapley value-based explanation method for graph neural networks
Graph neural networks (GNNs) recursively propagate signals along the edges of an input graph, integrate node feature information with graph structure, and learn object representations. Like other deep neural network models, GNNs have notorious black box character. For GNNs, only few approaches are a...
| 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/PMC9483788/ https://www.ncbi.nlm.nih.gov/pubmed/36134335 http://dx.doi.org/10.1016/j.isci.2022.105043 |