Semi-supervised classification on ADNI CN vs. AD (90% test)
79.1AccuracyGAT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GATLoss Function=Mod, λcon=0.12026.05 | 79.1 | 76.6 | 71.7 | 73.2 | |
| GATLoss Function=Mod, λcon=0.12026.05 | 79.1 | 76.6 | 71.7 | 73.2 | |
| GATLoss Function=MERIT + Cut, λcon=0.012026.05 | 78.7 | 72.9 | 75.5 | 73.8 | |
| GATLoss Function=MERIT + Cut, λcon=0.012026.05 | 78.7 | 72.9 | 75.5 | 73.8 | |
| ARMALoss Function=DGI + Cut, λcon=0.012026.05 | 78.2 | 73.9 | 72.5 | 72.4 | |
| ARMALoss Function=DGI + Cut, λcon=0.012026.05 | 78.2 | 73.9 | 72.5 | 72.4 | |
| ARMA-C3Loss Function=–, λcon=0.12026.05 | 77.9 | 72.8 | 71.9 | 71.3 | |
| ARMA-C3Loss Function=–, λcon=0.12026.05 | 77.9 | 72.8 | 71.9 | 71.3 | |
| GATLoss Function=Cut, λcon=0.12026.05 | 77.8 | 69.1 | 82.4 | 74.9 | |
| GATLoss Function=Cut, λcon=0.12026.05 | 77.8 | 69.1 | 82.4 | 74.9 | |
| MLPClassifierLoss Function=–, λcon=–2026.05 | 77.6 | 72.6 | 71.3 | 71.8 | |
| ARMALoss Function=Mod[29], λcon=0.012026.05 | 77.6 | 81.7 | 58 | 66.8 | |
| MLPClassifierLoss Function=–, λcon=–2026.05 | 77.6 | 72.6 | 71.3 | 71.8 | |
| ARMALoss Function=Mod[29], λcon=0.012026.05 | 77.6 | 81.7 | 58 | 66.8 | |
| ARMALoss Function=Cut[48], λcon=0.012026.05 | 76.5 | 66.6 | 83.4 | 74 | |
| ARMALoss Function=Cut[48], λcon=0.012026.05 | 76.5 | 66.6 | 83.4 | 74 | |
| GATLoss Function=DGI + Cut, λcon=12026.05 | 76.3 | 69 | 76.5 | 72.3 | |
| GATLoss Function=MERIT[11] + Mod, λcon=0.12026.05 | 76.3 | 69.9 | 72.7 | 70.9 | |
| GATLoss Function=DGI + Cut, λcon=12026.05 | 76.3 | 69 | 76.5 | 72.3 | |
| GATLoss Function=MERIT[11] + Mod, λcon=0.12026.05 | 76.3 | 69.9 | 72.7 | 70.9 | |
| JacobiConvLoss Function=–, λcon=–2026.05 | 76.2 | 71.7 | 69.4 | 70.1 | |
| ARMALoss Function=MERIT + Cut, λcon=0.012026.05 | 76.2 | 75.9 | 61.2 | 66.7 | |
| JacobiConvLoss Function=–, λcon=–2026.05 | 76.2 | 71.7 | 69.4 | 70.1 | |
| ARMALoss Function=MERIT + Cut, λcon=0.012026.05 | 76.2 | 75.9 | 61.2 | 66.7 | |
| ARMALoss Function=DGI[27] + Mod, λcon=0.012026.05 | 75.9 | 76.5 | 59.5 | 66 | |
| ARMALoss Function=DGI[27] + Mod, λcon=0.012026.05 | 75.9 | 76.5 | 59.5 | 66 | |
| Random ForestLoss Function=–, λcon=–2026.05 | 75.8 | 79.1 | 55.1 | 64.3 | |
| Random ForestLoss Function=–, λcon=–2026.05 | 75.8 | 79.1 | 55.1 | 64.3 | |
| GATLoss Function=DGI + Mod, λcon=12026.05 | 75.6 | 69.9 | 71.4 | 70.3 | |
| GATLoss Function=DGI + Mod, λcon=12026.05 | 75.6 | 69.9 | 71.4 | 70.3 | |
| GATLoss Function=Baseline, λcon=–2026.05 | 75 | 71.1 | 68.6 | 68.9 | |
| GATLoss Function=Baseline, λcon=–2026.05 | 75 | 71.1 | 68.6 | 68.9 | |
| SVCLoss Function=–, λcon=–2026.05 | 74.9 | 77.9 | 53.2 | 62.5 | |
| APPNPLoss Function=–, λcon=–2026.05 | 74.9 | 70.7 | 64.9 | 66.7 | |
| SVCLoss Function=–, λcon=–2026.05 | 74.9 | 77.9 | 53.2 | 62.5 | |
| APPNPLoss Function=–, λcon=–2026.05 | 74.9 | 70.7 | 64.9 | 66.7 | |
| ARMALoss Function=Baseline, λcon=–2026.05 | 73.9 | 66.6 | 71 | 68.6 | |
| ARMALoss Function=Baseline, λcon=–2026.05 | 73.9 | 66.6 | 71 | 68.6 | |
| XGBoostLoss Function=–, λcon=–2026.05 | 73 | 69.6 | 60.5 | 64 | |
| XGBoostLoss Function=–, λcon=–2026.05 | 73 | 69.6 | 60.5 | 64 |