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Node-level Regression Uncertainty Quantification on Chicago
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100
PICP
ER-GNN
31.36
49.18
67
84.82
May 6, 2026
PICP
MPIW
Updated 27d ago
Evaluation Results
Method
Method
Links
PICP
MPIW
ER-GNN
2026.05
100
3.06
BayesianNN
2026.05
100
2.99
QpiGNN
Width penalty (lambda)...
2026.05
99
0.6
QpiGNN
Width penalty (lambda)...
2026.05
98
0.36
QpiGNN
Width penalty (lambda)...
2026.05
97
0.36
CF-GNN
optimized=true
2026.05
91
2.26
CF-GNN
2026.05
90
3.12
RQRadj.-GNN
2026.05
88
0.3
SQR-GNN
2026.05
87
0.21
MC Dropout
2026.05
34
0.07
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