When assessed against the D4 Diverse dataset, all graph models outperformed the baseline by a large margin (Figure ). In contrast to the results observed for PDBbind datasets, the DMPNN model performed best, followed by GGNET and PFP. The similarity split data resulted in models that performed no worse than the random split, likely due to the large diversity already seen within the dataset.