Uncertainty Quantification on Chameleon
0SharpnessSQR-GNN
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| SQR-GNNBackbone=GraphSAGE2026.05 | 0 | 0.03 | — | — | |
| MC dropout2026.05 | 0 | 0.04 | — | — | |
| QpiGNNlambda=0.5, Backbone=GraphSAGE2026.05 | 0 | 0.05 | — | — | |
| RQRadj.-GNNBackbone=GraphSAGE2026.05 | 0.02 | 0.16 | — | — | |
| QpiGNNlambda=optimal, Backbone=GraphSAGE2026.05 | 0.06 | 0.23 | — | — | |
| QpiGNNlambda=0.1, Backbone=GraphSAGE2026.05 | 0.18 | 0.41 | — | — | |
| BayesianNN2026.05 | 8.73 | 2.95 | — | — | |
| BayesianNN2026.05 | — | — | 8 | 6.24 | |
| MC dropout2026.05 | — | — | 4 | 26.19 | |
| QpiGNNLambda (λ)=0.52026.05 | — | — | 3 | 3.56 | |
| QpiGNNLambda (λ)=0.12026.05 | — | — | 9 | 0.91 | |
| QpiGNNLambda (λ)=opt.2026.05 | — | — | 6 | 0.55 | |
| RQR-GNNAdjustment=adj.2026.05 | — | — | 7 | 0.59 | |
| SQR-GNN2026.05 | — | — | 2 | 2.39 |