| graph-classification-on-cifar10-100k | GatedGCN+ | #2 | Accuracy (%): 77.218 ± 0.381 |
| graph-classification-on-malnet-tiny | GatedGCN+ | #2 | Accuracy: 94.600±0.570 |
| graph-classification-on-mnist | GatedGCN+ | #4 | Accuracy: 98.712 ± 0.137 |
| graph-classification-on-mnist | GCN+ | #7 | Accuracy: 98.382 ± 0.095 |
| graph-classification-on-peptides-func | GCN+ | #7 | AP: 0.7261 ± 0.0067 |
| graph-property-prediction-on-ogbg-code2 | GatedGCN+ | #4 | Test F1 score: 0.1896 ± 0.0024Validation F1 score: 0.1742 ± 0.0027 |
| graph-property-prediction-on-ogbg-molhiv | GatedGCN+ | #11 | Test ROC-AUC: 0.8040 ± 0.0164Ext. data: No… |
| graph-property-prediction-on-ogbg-molpcba | GatedGCN+ | #9 | Test AP: 0.2981 ± 0.0024Ext. data: NoValidation AP: 0.3011 ± 0.0037… |
| graph-property-prediction-on-ogbg-ppa | GatedGCN+ | #1 | Ext. data: NoTest Accuracy: 0.8258 ± 0.0055… |
| graph-property-prediction-on-ogbg-ppa | GIN+ | #2 | Ext. data: NoTest Accuracy: 0.8107 ± 0.0053… |
| graph-property-prediction-on-ogbg-ppa | GCN+ | #3 | Ext. data: NoTest Accuracy: 0.8077 ± 0.0041… |
| graph-regression-on-peptides-struct | GCN+ | #3 | MAE: 0.2421 ± 0.0016 |
| graph-regression-on-zinc-500k | GIN+ | #6 | MAE: 0.065 |
| node-classification-on-cluster | GatedGCN+ | #3 | Accuracy: 79.128 ± 0.235 |
| node-classification-on-coco-sp | GatedGCN+ | #3 | macro F1: 0.3802 ± 0.0015 |
| node-classification-on-pascalvoc-sp-1 | GatedGCN+ | #5 | macro F1: 0.4263 ± 0.0057 |
| node-classification-on-pattern | GatedGCN+ | #3 | Accuracy: 87.029 ± 0.037 |