| graph-classification-on-cifar10-100k | EGT | #14 | Accuracy (%): 68.702 |
| graph-classification-on-mnist | EGT | #9 | Accuracy: 98.173 |
| graph-property-prediction-on-ogbg-molhiv | EGT | #7 | Test ROC-AUC: 0.806 ± 0.0065 |
| graph-property-prediction-on-ogbg-molpcba | EGT | #11 | Test AP: 0.2961 ± 0.0024 |
| graph-regression-on-pcqm4m-lsc | EGT | #10 | Validation MAE: 0.1224 |
| graph-regression-on-pcqm4mv2-lsc | EGT + Triangular Attention | #2 | Validation MAE: 0.0671Test MAE: 0.0683 |
| graph-regression-on-pcqm4mv2-lsc | EGT | #10 | Validation MAE: 0.0857Test MAE: 0.0862 |
| graph-regression-on-zinc-100k | EGT | #4 | MAE: 0.143 |
| graph-regression-on-zinc-500k | EGT | #23 | MAE: 0.108 |
| link-prediction-on-tsp-hcp-benchmark-set | EGT | #3 | F1: 0.853 |
| node-classification-on-cluster | EGT | #2 | Accuracy: 79.232 |
| node-classification-on-pattern | EGT | #5 | Accuracy: 86.821 |
| node-classification-on-pattern-100k | EGT | #1 | Accuracy (%): 86.816 |