GEM and Uni-Mol models, as well as our APAN models of 2D graph and 3D conformations. For QM8 and QM9 dataset, the MAEs are the average values over multiple tasks. As shown in As shown in Table , the APAN 3D models show better performance than the APAN models using 2D graph. As we know that those QM properties are closely related with ligand 3D conformation, it is understandable that models built on 3D conformation performs better than those with 2D graph for these tasks. Nevertheless, our APAN 2D models are still ranked as top model among all 2D related models which demonstrates that our APAN method works well for molecular representation learning.