The training dataset was employed to establish the vocabulary set, encompassing the subgraph structures presented throughout the dataset. The standardized penalized logP value was chosen as the target molecular property. Subsequently, model performance was validated using MOSES' established evaluation criteria, with 100,000 random molecular samples decoded from the latent space. To ensure robustness, this sampling and evaluation process was repeated three times, each with a different seed.