Our results indicate that attention-based pooling outperforms sum pooling on the majority of datasets and quantum properties, including properties computed at different levels of theory (Table ). On QM7b, using ABP on top of SchNet results in an average decrease (across all tasks) in MAE of 50.5%, with the highest decrease on the 'Polarizability (self-consistent screening)' task (85.13%). The smallest decrease in