Graph Classification on NCI1 TUDataset (10-fold cross-validation)
86AccuracyWL kernel
Evaluation results
| Method | Links | ||
|---|---|---|---|
| WL kernel2021.10 | 86 | — | |
| WLKvalidation=10-fold cross-validation2022.09 | 86 | — | |
| GIN-AK+2021.10 | 85 | — | |
| CANvalidation=10-fold cross-validation2022.09 | 84.5 | — | |
| CIN2021.10 | 83.6 | — | |
| CINvalidation=10-fold cross-validation2022.09 | 83.6 | — | |
| GSN2021.10 | 83.5 | — | |
| GSNvalidation=10-fold cross-validation2022.09 | 83.5 | — | |
| PPGNS2021.10 | 83.2 | — | |
| PPGNsvalidation=10-fold cross-validation2022.09 | 83.2 | — | |
| GIN2021.10 | 82.7 | — | |
| SIN2021.10 | 82.7 | — | |
| GINvalidation=10-fold cross-validation2022.09 | 82.7 | — | |
| SINvalidation=10-fold cross-validation2022.09 | 82.7 | — | |
| PK2021.10 | 82.5 | — | |
| PKvalidation=10-fold cross-validation2022.09 | 82.5 | — | |
| Natural GN2021.10 | 82.4 | — | |
| NGNvalidation=10-fold cross-validation2022.09 | 82.4 | — | |
| DGCNN2021.10 | 74.4 | — | |
| DGCNNvalidation=10-fold cross-validation2022.09 | 74.4 | — | |
| IGN2021.10 | 74.3 | — | |
| IGNvalidation=10-fold cross-validation2022.09 | 74.3 | — | |
| GKk=32021.10 | 62.5 | — | |
| GK(k=3)validation=10-fold cross-validation2022.09 | 62.5 | — | |
| DCNN2021.10 | 56.6 | — | |
| DCNNvalidation=10-fold cross-validation2022.09 | 56.6 | — |