Setup. We trained the model with the best performance across both distribution and chemical metrics (α = 0.27, ρ = 0.42) for 50 epochs. Using the fully trained model, we randomly generate and score 10,000 molecules. For comparison we randomly draw 10,000 molecules from QM9 without replacement and score them using the same method as the generated samples.