We ideally want to have as low an SSD score as possible and as high a synthesizability fraction as possible. The following table summarizes our results with different models at a target size of 21 ± 5 ("reg." denotes the use of regularization during training). The errors were calculated based on 5 replicate runs of each case, except for the unregularized one-layer GCN model.