GNN Calibration on Computers
0.0132ECEIRM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| IRMModel=GAT2022.10 | 0.0132 | — | — | |
| GATSModel=GAT2022.10 | 0.0139 | — | — | |
| SplineModel=GCN2022.10 | 0.0156 | — | — | |
| SplineModel=GAT2022.10 | 0.0156 | — | — | |
| OIModel=GCN2022.10 | 0.0186 | — | — | |
| UncalModel=GAT2022.10 | 0.0188 | — | — | |
| IRMModel=GCN2022.10 | 0.0198 | — | — | |
| OIModel=GAT2022.10 | 0.0217 | — | — | |
| GATSModel=GCN2022.10 | 0.0223 | — | — | |
| DIRModel=GAT2022.10 | 0.0223 | — | — | |
| UncalModel=GCN2022.10 | 0.03 | — | — | |
| DIRModel=GCN2022.10 | 0.0331 | — | — | |
| CaGCNBackbone=GCN2022.10 | — | — | 1.65 | |
| CaGCNBackbone=GAT2022.10 | — | — | 1.75 | |
| ETSBackbone=GCN2022.10 | — | — | 2.73 | |
| ETSBackbone=GAT2022.10 | — | — | 1.67 | |
| GATSModel=GCN2022.10 | — | 0.89 | — | |
| GATSModel=GAT2022.10 | — | 0.8 | — | |
| GATSBackbone=GCN2022.10 | — | — | 2.16 | |
| GATSBackbone=GAT2022.10 | — | — | 1.47 | |
| TSBackbone=GCN2022.10 | — | — | 2.6 | |
| TSBackbone=GAT2022.10 | — | — | 1.62 | |
| UncalBackbone=GCN2022.10 | — | — | 3.05 | |
| UncalBackbone=GAT2022.10 | — | — | 1.89 | |
| VSBackbone=GCN2022.10 | — | — | 2.68 | |
| VSBackbone=GAT2022.10 | — | — | 1.7 |