Uncertainty Quantification on Basic Synthetic
9.08SharpnessBayesianNN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BayesianNN2026.05 | 9.08 | 3.01 | |
| CF-GNN2026.05 | 4.79 | 1.91 | |
| QpiGNNlambda=0.1, Backbone=GraphSAGE2026.05 | 0.86 | 0.93 | |
| RQRadj.-GNNBackbone=GraphSAGE2026.05 | 0.67 | 0.82 | |
| SQR-GNNBackbone=GraphSAGE2026.05 | 0.14 | 0.33 | |
| MC dropout2026.05 | 0.1 | 0.47 | |
| QpiGNNlambda=0.5, Backbone=GraphSAGE2026.05 | 0.1 | 0.3 | |
| QpiGNNlambda=optimal, Backbone=GraphSAGE2026.05 | 0.1 | 0.31 |