| graph-classification-on-dd | TokenGT | #45 | Accuracy: 73.950±3.361 |
| graph-classification-on-imdb-b | TokenGT | #6 | Accuracy: 80.250±3.304 |
| graph-classification-on-nci1 | TokenGT | #42 | Accuracy: 76.740±2.054 |
| graph-classification-on-nci109 | TokenGT | #28 | Accuracy: 72.077±1.883 |
| graph-regression-on-esr2 | TokenGT | #8 | R2: 0.641±0.000RMSE: 0.529±0.641 |
| graph-regression-on-f2 | TokenGT | #8 | R2: 0.872±0.000RMSE: 0.363±0.872 |
| graph-regression-on-kit | TokenGT | #8 | R2: 0.800±0.000RMSE: 0.486±0.800 |
| graph-regression-on-lipophilicity | TokenGT | #16 | RMSE: 0.852±0.023R2: 0.545±0.024 |
| graph-regression-on-parp1 | TokenGT | #8 | R2: 0.907±0.000RMSE: 0.383±0.907 |
| graph-regression-on-pcqm4mv2-lsc | TokenGT | #17 | Validation MAE: 0.0910Test MAE: 0.0919 |
| graph-regression-on-peptides-struct | TokenGT | #20 | MAE: 0.2489±0.0013 |
| graph-regression-on-pgr | TokenGT | #5 | R2: 0.684±0.000RMSE: 0.543±0.684 |
| graph-regression-on-zinc-full | TokenGT | #13 | Test MAE: 0.047±0.010 |
| molecular-property-prediction-on-esol | TokenGT | #12 | RMSE: 0.667±0.103R2: 0.892±0.036 |
| molecular-property-prediction-on-freesolv | TokenGT | #8 | RMSE: 1.038±0.125R2: 0.930±0.018 |