fig4
Figure 4. (A) Performance of Union-GCN in λemi, σemi, ΦQY, and lg(εmax); (B) The variation trend of novelty, availability, uniqueness, MolElite, and MolMediocrity of the sampled molecules during Sampling Augmentor training. Different properties are normalized to be displayed on the same image. GCN: Graph convolutional neural network.
