Inspired by Rasmussen et. al. , the calculated logarithmic octanol-water coefficient (clogP) was chosen to be predicted by graph neural networks, and subsequently explained. The method to calculate logP for the labels developed was developed by Wildman and Crippen and uses individual atom contributions adding up to the molecule's logP. These atom contributions can be compared to the Myerson explanations as a ground truth for the relative contributions to quickly show whether the explanations have merit.