Interpreting graph neural networks with Myerson values for cheminformatics approaches
Here we introduce a novel method to interpret the predictions of graph neural networks (GNNs) based on Myerson values from cooperative game theory. Myerson values are closely related to Shapley values and thus provide an interpretability approach similar to the SHAP values. We developed the techniqu...
| Main Authors: | , , , |
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| Format: | Internet publication |
| Language: | English |
| Published: |
ChemRxiv
2023
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