| graph-classification-on-cifar10-100k | PNA | #12 | Accuracy (%): 70.47 |
| graph-classification-on-dd | PNA | #19 | Accuracy: 78.992±4.407 |
| graph-classification-on-enzymes | PNA | #9 | Accuracy: 73.021±2.512 |
| graph-classification-on-imdb-b | PNA | #12 | Accuracy: 78.000±3.808 |
| graph-classification-on-nci1 | PNA | #13 | Accuracy: 84.964±1.391 |
| graph-classification-on-nci109 | PNA | #10 | Accuracy: 83.382±1.045 |
| graph-classification-on-proteins | PNA | #23 | Accuracy: 77.679±3.281 |
| graph-property-prediction-on-ogbg-molhiv | PNA | #18 | Test ROC-AUC: 0.7905 ± 0.0132Ext. data: No… |
| graph-property-prediction-on-ogbg-molpcba | PNA | #18 | Test AP: 0.2838 ± 0.0035Ext. data: NoValidation AP: 0.2926 ± 0.0026… |
| graph-regression-on-esr2 | PNA | #2 | R2: 0.696±0.000RMSE: 0.486±0.696 |
| graph-regression-on-f2 | PNA | #1 | R2: 0.891±0.000RMSE: 0.336±0.891 |
| graph-regression-on-kit | PNA | #1 | R2: 0.843±0.000RMSE: 0.430±0.843 |
| graph-regression-on-lipophilicity | PNA | #1 | RMSE: 0.520±0.011R2: 0.830±0.007 |
| graph-regression-on-parp1 | PNA | #2 | R2: 0.924±0.000RMSE: 0.346±0.924 |
| graph-regression-on-pgr | PNA | #2 | R2: 0.717±0.000RMSE: 0.514±0.717 |
| graph-regression-on-zinc | PNA | #20 | MAE: 0.142 |
| graph-regression-on-zinc-full | PNA | #14 | Test MAE: 0.057±0.007 |
| molecular-property-prediction-on-esol | PNA | #2 | RMSE: 0.493±0.026R2: 0.942±0.006 |
| molecular-property-prediction-on-freesolv | PNA | #7 | RMSE: 0.870±0.081R2: 0.951±0.009 |
| node-classification-on-pattern-100k | PNA | #4 | Accuracy (%): 86.567 |