Graph-Aware Transformer: Is Attention All Graphs Need?
Table 1: MAE of 12 regression tasks in QM9
['Mode  [BOLD] Target', 'Mode Unit', 'Multi-task DimeNet', 'Multi-task GRAT', 'Single-task MPNN', 'Single-task DimeNet', 'Single-task GRAT']
Numbers in bold font represent the state-of-the-art performance for those tasks. For the multi-task mode, GRAT shows state-of-the-art performance on 4 out of 12 tasks. Notably, in terms of the mean standardized MAE (stdMAE) Klicpera et al. The corresponding results of MPNN are not available. For the single-task mode, DimeNet shows state-of-the-art performance on 10 out of 12 tasks.