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Learning Directed Acyclic Graphs research benchmarks · SOTA2 Research

Learning Directed Acyclic Graphs

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Synthetic DAGs Gumbel noise distribution 1.0 (test)

350SHD

5

Feb 26, 2026

Synthetic DAGs Default: 100 nodes, 400 edges, ER, Gaussian, n=1000 1.0 (test)

285SHD

5

Feb 26, 2026

Synthetic DAGs Dense root causes: p=0.5 1.0 (test)

271SHD

4

Feb 26, 2026

Synthetic DAGs High edge density: 1000 edges 1.0 (test)

961SHD

4

Feb 26, 2026

Synthetic DAGs Scale-free graph type 1.0 (test)

187SHD

4

Feb 26, 2026

Synthetic DAGs Larger weights in A 1.0 (test)

135SHD

3

Feb 26, 2026

Synthetic DAGs Standardized data 1.0 (test)

329SHD

3

Feb 26, 2026

Synthetic DAGs High noise deviation: sigma=0.1 1.0 (test)

341SHD

2

Feb 26, 2026

Synthetic DAGs Fixed support 1.0 (test)

390SHD

1

Feb 26, 2026

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