Table 3.
Performance for the classification task. We show results for four baselines on GCN [25] for Tadpole and UKBB and DGM [7] for Tadpole with different input feature settings.ACC represents accuracy.
| Data | Task | Method | Measure | a | b | c | d |
|---|---|---|---|---|---|---|---|
| Tadpole | Disease | GCN | ACC | 77.4±02.41 | 81.00±06.40 | 74.50±3.44 | 82.4±04.14 |
| AUC | 79.79±04.75 | 74.70±04.32 | 72.11±08.24 | 83.89±09.06 | |||
| F1 | 74.70±05.32 | 78.4±06.77 | 65.23±08.46 | 78.73±07.60 | |||
| DGM | ACC | 89.2±05.26 | 92.92±02.50 | 79.70±04.22 | 95.09±03.15 | ||
| AUC | 96.47±02.47 | 97.16±01.32 | 90.66±02.64 | 98.33±02.07 | |||
| F1 | 88.60±05.32 | 91.4±03.32 | 77.9±6.38 | 93.36±03.28 | |||
| UKBB | Age | DGM | ACC | 62.10±01.45 | 63.62±01.23 | 61.54±01.83 | 59.45±03.15 |
| AUC | 76.57±02.47 | 76.82±03.03 | 81.40±04.73 | 77.23±02.17 | |||
| F1 | 46.80±04.83 | 50.23±02.52 | 47.31±03.54 | 47.46±03.19 | |||
| DGM | ACC | 89.93±01.3 | 90.67±01.26 | 89.04±01.84 | 87.46±03.32 | ||
| AUC | 95.83±00.76 | 96.47±00.66 | 95.02±00.92 | 93.98±02.43 | |||
| F1 | 89.83±01.34 | 90.65±01.25 | 89.01±01.75 | 87.4±03.23 |