| graph-classification-on-enzymes | UGT | #18 | Accuracy: 67.22±3.92 |
| graph-classification-on-nci1 | UGT | #38 | Accuracy: 77.55 ±0.16% |
| graph-classification-on-nci109 | UGT | #21 | Accuracy: 75.45±1.26 |
| graph-classification-on-proteins | UGT | #10 | Accuracy: 80.12 ±0.32 |
| node-classification-on-brazil-air-traffic | UGT | #1 | Accuracy: 0.8 ± 0.05 |
| node-classification-on-chameleon | UGT | #22 | Accuracy: 69.78 ±3.21 |
| node-classification-on-citeseer | UGT | #9 | Accuracy: 76.08±2.5 |
| node-classification-on-cora | UGT | #3 | Accuracy: 88.74±0.6% |
| node-classification-on-cornell | UGT | #38 | Accuracy: 70.0 ±4.44 |
| node-classification-on-europe-air-traffic | UGT | #1 | Accuracy: 56.92 ±6.36 |
| node-classification-on-film-60-20-20-random | UGT | #24 | 1:1 Accuracy: 36.84±0.62 |
| node-classification-on-squirrel | UGT | #10 | Accuracy: 66.96 ±2.49 |
| node-classification-on-texas | UGT | #13 | Accuracy: 86.67 ±8.31 |
| node-classification-on-usa-air-traffic | UGT | #1 | Accuracy: 66.22±4.55 |
| node-classification-on-wisconsin | UGT | #37 | Accuracy: 81.6 ±8.24 |