Table 2:
Prediction performance of different MLC-GCNs with different non-linear FC estimated based on histograms with different number of bins. The numbers after each model name means the number of histogram bins.
| Dataset | Method | Acc | AUC | Spe | Sen | F1-score |
|---|---|---|---|---|---|---|
| ADNI2 | MLC-GCN-CE20 | 75.43±3.68 | 91.092±2.08 | 91.688±1.25 | 74.976±3.50 | 74.958±3.52 |
| MLC-GCN-CE50 | 76.05±4.36 | 91.156±2.26 | 91.878±1.40 | 75.688±3.97 | 75.762±4.67 | |
| MLC-GCN-CE100 | 80.24±4.78 | 92.23±2.41 | 93.28±1.65 | 80.38±5.15 | 80.57±4.73 | |
| MLC-GCN-KL20 | 71.858±4.85 | 88.624±1.68 | 90.424±1.66 | 71.476±4.99 | 71.816±5.05 | |
| MLC-GCN-KL50 | 77.284±3.69 | 91.328±1.69 | 92.272±1.21 | 76.888±3.77 | 77.32±3.87 | |
| MLC-GCN-KL100 | 75.90±2.08 | 90.32±1.15 | 91.85±0.68 | 75.83±2.04 | 75.76±2.34 | |
| MLC-GCN-MIKDE | 78.188±1.55 | 91.38±0.70 | 92.572±0.46 | 77.344±1.74 | 77.96±1.85 | |
| MLC-GCN-MI20 | 76.822±3.57 | 90.972±2.28 | 92.156±1.22 | 77.42±3.98 | 77.24±3.87 | |
| MLC-GCN-MI50 | 82.7±4.67 | 93.668±1.00 | 94.182±1.58 | 83.176±4.06 | 82.906±4.35 | |
| MLC-GCN-MI100 | 84.612±2.72 | 94.566±1.59 | 94.832±0.87 | 84.73±2.63 | 84.574±2.48 | |
| OASIS-3 | MLC-GCN-CE20 | 79.112±2.17 | 84.59±3.30 | 86.52±2.34 | 67.02±2.42 | 68.226±1.93 |
| MLC-GCN-CE50 | 79.446±1.89 | 83.874±3.78 | 86.264±2.38 | 66.54±2.18 | 68.098±1.91 | |
| MLC-GCN-CE100 | 81.334±2.85 | 86.876±3.04 | 87.494±3.18 | 72.694±4.54 | 73.448±4.01 | |
| MLC-GCN-KL20 | 83.556±0.93 | 89.504±1.52 | 88.436±0.72 | 75.226±1.03 | 77.656±1.37 | |
| MLC-GCN-KL50 | 83.89±1.04 | 89.582±1.43 | 88.968±1.08 | 75.93±1.57 | 77.862±1.67 | |
| MLC-GCN-KL100 | 82.776±1.24 | 89.176±1.62 | 88.424±1.43 | 74.212±4.95 | 75.88±3.71 | |
| MLC-GCN-MIKDE | 88.556±3.41 | 93.012±1.44 | 92.08±1.85 | 80.178±5.09 | 83.026±5.66 | |
| MLC-GCN-MI20 | 89.466±2.69 | 93.356±2.51 | 92.788±2.04 | 82.46±6.59 | 84.242±5.14 | |
| MLC-GCN-MI50 | 89.222±2.93 | 93.376±2.47 | 93.11±1.86 | 83.904±5.2 | 84.954±4.43 | |
| MLC-GCN-MI100 | 91.566±2.56 | 94.572±2.84 | 94.582±1.79 | 87.904±4.56 | 88.272±4.04 |