Causal Discovery on Synthetic DAG data
100TPRLiNGAM
Evaluation Results
| Method | Links | |
|---|---|---|
| LiNGAMLarger weights in A=(0.5, 2)2023.05 | 100 | |
| LiNGAMSetting=Default2023.05 | 99 | |
| LiNGAMGraph type=Scale-free2023.05 | 99 | |
| LiNGAMEdges/Vertices=102023.05 | 98 | |
| sortnregressGraph type=Scale-free2023.05 | 96 | |
| LiNGAMNc, Nx distribution=Gumbel2023.05 | 94 | |
| LiNGAMStandardization=Yes2023.05 | 94 | |
| sortnregressLarger weights in A=(0.5, 2)2023.05 | 94 | |
| DAG-NoCurlGraph type=Scale-free2023.05 | 92 | |
| DAG-NoCurlLarger weights in A=(0.5, 2)2023.05 | 92 | |
| sortnregressEdges/Vertices=102023.05 | 90 | |
| sortnregressNc, Nx distribution=Gumbel2023.05 | 88 | |
| sortnregressDense root causes C=p = 0.52023.05 | 88 | |
| sortnregressSetting=Default2023.05 | 87 | |
| sortnregressNc, Nx deviation=sigma = 0.12023.05 | 85 | |
| DAG-NoCurlSetting=Default2023.05 | 84 | |
| DAG-NoCurlEdges/Vertices=102023.05 | 84 | |
| DAG-NoCurlDense root causes C=p = 0.52023.05 | 84 | |
| fGESDense root causes C=p = 0.52023.05 | 83 | |
| DAG-NoCurlNc, Nx distribution=Gumbel2023.05 | 82 | |
| fGESNc, Nx distribution=Gumbel2023.05 | 82 | |
| fGESSetting=Default2023.05 | 80 | |
| fGESStandardization=Yes2023.05 | 80 | |
| DAG-NoCurlNc, Nx deviation=sigma = 0.12023.05 | 78 | |
| fGESGraph type=Scale-free2023.05 | 76 | |
| DAG-NoCurlSamples=n = 1002023.05 | 76 | |
| fGESNc, Nx deviation=sigma = 0.12023.05 | 76 | |
| fGESLarger weights in A=(0.5, 2)2023.05 | 74 | |
| LiNGAMDense root causes C=p = 0.52023.05 | 70 | |
| LiNGAMNc, Nx deviation=sigma = 0.12023.05 | 64 | |
| MMHCSetting=Default2023.05 | 58 | |
| MMHCNc, Nx deviation=sigma = 0.12023.05 | 58 | |
| sortnregressFixed support=Yes2023.05 | 58 | |
| MMHCStandardization=Yes2023.05 | 57 | |
| MMHCDense root causes C=p = 0.52023.05 | 57 | |
| MMHCNc, Nx distribution=Gumbel2023.05 | 56 | |
| fGESEdges/Vertices=102023.05 | 54 | |
| fGESFixed support=Yes2023.05 | 54 | |
| LiNGAMFixed support=Yes2023.05 | 52 | |
| CAMDense root causes C=p = 0.52023.05 | 51 |