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Causal Discovery research benchmarks – Page 17 · SOTA2 Research

Causal Discovery

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CauseMe NVAR-20

45.9F1@0.5

3

Jun 23, 2026

44.6F1@0.5

3

Jun 23, 2026

51Window F1 Score

3

Jun 16, 2026

0.074h_final

3

Jun 8, 2026

49.31F1 Score

3

Apr 28, 2026

98.02Accuracy

3

Mar 26, 2026

96.14Accuracy

3

Mar 26, 2026

85.12Accuracy

3

Mar 26, 2026

29.1SHD

3

Feb 26, 2026

Causal Chambers p20

38SHD

3

Feb 26, 2026

17.52SHD

3

Feb 26, 2026

1.44SHD

3

Feb 26, 2026

Simulation 4 C-DAGs with latent variables only within clusters

94.9Structural Precision (Adj.)

3

Feb 26, 2026

Simulation C-ADMGs 3

0.36Adj. Precision

3

Feb 26, 2026

Erdős-Rényi (ER) graphs nonlinear causal models d = 100

295.92E-SHD

3

Feb 26, 2026

Erdős-Rényi (ER) graphs nonlinear causal models d = 70

143.7E-SHD

3

Feb 26, 2026

Sheaf-fast chain

BRIDGE-constrained DCDI

33.3Base F1

2

Jun 19, 2026

Sachs signaling S9

BRIDGE-constrained DCDI

11.8Base F1

2

Jun 19, 2026

Sachs Observational Only

19SHD

2

Jun 8, 2026

Synthetic datasets aggregated over d ∈ {100, 200, 500} 3 seeds each

285.4SHD

2

Jun 8, 2026

VAR (Ref. Only)

151.38Runtime (s)

2

Jun 4, 2026

VAR (Ref. Only)

82.69Runtime (s)

2

Jun 4, 2026

98AUCadj

2

May 13, 2026

Finance (Semi-synthetic)

67AUCadj

2

May 13, 2026

50AUCadj

2

May 13, 2026

Page 17 of 20

Popular datasets

Erdős-Rényi Synthetic Sachs CauseMe Synthetic Scenario

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