To conclude, using graph-based Myerson values in combination with color-coded atoms visualizations is a promising new method to peer into the "black-box" and explain GNN predictions. Our experiments showed a high correlation between the explanations and the underlying ground truths. Where the explanations did not correlate with the ground truth, a faulty model was identified, showing the use of Myerson values as explanations to debug an underperforming model. While the exponential computational cost restricts the exact calculation of the Myerson values to small graphs/molecules, we implemented a Monte-Carlo sampling approach which allows the calculation to scale to arbitrarily large graphs. A.