Uncertainty Quantification on Education
0.01SharpnessMC dropout
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MC dropout2026.05 | 0.01 | 0.14 | |
| SQR-GNNBackbone=GraphSAGE2026.05 | 0.11 | 0.33 | |
| RQRadj.-GNNBackbone=GraphSAGE2026.05 | 0.24 | 0.5 | |
| QpiGNNlambda=0.5, Backbone=GraphSAGE2026.05 | 0.35 | 0.57 | |
| QpiGNNlambda=optimal, Backbone=GraphSAGE2026.05 | 0.38 | 0.59 | |
| QpiGNNlambda=0.1, Backbone=GraphSAGE2026.05 | 0.8 | 0.9 | |
| BayesianNN2026.05 | 8.78 | 2.96 | |
| CF-GNN2026.05 | 8.78 | 2.83 | |
| CF-GNNOptimization protocol=optimal2026.05 | 11.82 | 3.14 |