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Benchmarks
Algorithmic Reasoning on BELLMAN-FORD 20 nodes
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0.0025
Key Value
NE++
0.001087
0.010826
0.020565
0.030304
Oct 26, 2021
Key Value
Predecessor Accuracy
Predecessor Cost
Updated 3d ago
Evaluation Results
Method
Method
Links
Key Value
Predecessor Accuracy
Predecessor Cost
NE++
Training Strategy=NA
2021.10
0.0025
2.8
-
NE++
Training Strategy=Mult...
2021.10
0.0035
2.3
-
NE
Training Strategy=Mult...
2021.10
0.0154
3.4
-
NE
Training Strategy=NA
2021.10
0.0182
5.7
-
NE++
Training Strategy=Tran...
2021.10
0.0223
6.2
-
NE
Training Strategy=Tran...
2021.10
0.0386
7.2
-
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