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Node-level Regression Uncertainty Quantification on Election
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100
PICP
ER-GNN
45.92
59.96
74
88.04
May 6, 2026
PICP
MPIW
Updated 27d ago
Evaluation Results
Method
Method
Links
PICP
MPIW
ER-GNN
2026.05
100
6.9
BayesianNN
2026.05
100
2.98
QpiGNN
Width penalty (lambda)...
2026.05
100
0.97
QpiGNN
Width penalty (lambda)...
2026.05
98
0.77
QpiGNN
Width penalty (lambda)...
2026.05
98
0.77
CF-GNN
optimized=true
2026.05
91
0.94
SQR-GNN
2026.05
89
0.47
RQRadj.-GNN
2026.05
89
0.54
CF-GNN
2026.05
89
1.08
MC Dropout
2026.05
48
0.18
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