Causal structure learning on Erdős–Rényi (ER) (n=100, h=5) synthetic (test)
0.08FDRNOTEARS + VISTA-WV
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| NOTEARS + VISTA-WVBase Learner=NOTEARS, Aggregation Scheme=Weighted Voting (WV), n=100, h=52026.01 | 0.08 | 0.68 | 182.4 | 0.79 | |
| NOTEARSBase Learner=NOTEARS, Aggregation Scheme=Standalone, n=100, h=52026.01 | 0.21 | 0.74 | 208.8 | 0.76 | |
| GOLEM + VISTA-WVBase Learner=GOLEM, Aggregation Scheme=Weighted Voting (WV), n=100, h=52026.01 | 0.23 | 0.5 | 306.7 | 0.6 | |
| DAG-GNN + VISTA-WVBase Learner=DAG-GNN, Aggregation Scheme=Weighted Voting (WV), n=100, h=52026.01 | 0.36 | 0.56 | 377 | 0.59 | |
| GraN-DAG + VISTA-WVBase Learner=GraN-DAG, Aggregation Scheme=Weighted Voting (WV), n=100, h=52026.01 | 0.43 | 0.1 | 503.4 | 0.17 | |
| GOLEMBase Learner=GOLEM, Aggregation Scheme=Standalone, n=100, h=52026.01 | 0.61 | 0.35 | 567 | 0.35 | |
| DAG-GNNBase Learner=DAG-GNN, Aggregation Scheme=Standalone, n=100, h=52026.01 | 0.66 | 0.42 | 739.2 | 0.35 | |
| SCORE + VISTA-WVBase Learner=SCORE, Aggregation Scheme=Weighted Voting (WV), n=100, h=52026.01 | 0.8 | 0.65 | 838 | 0.31 | |
| GraN-DAG + VISTA-NVBase Learner=GraN-DAG, Aggregation Scheme=Naive Voting (NV), n=100, h=52026.01 | 0.86 | 0.18 | 656.6 | 0.16 | |
| NOTEARS + VISTA-NVBase Learner=NOTEARS, Aggregation Scheme=Naive Voting (NV), n=100, h=52026.01 | 0.87 | 0.97 | 3,171.8 | 0.23 | |
| GOLEM + VISTA-NVBase Learner=GOLEM, Aggregation Scheme=Naive Voting (NV), n=100, h=52026.01 | 0.87 | 0.91 | 2,891 | 0.23 | |
| DAG-GNN + VISTA-NVBase Learner=DAG-GNN, Aggregation Scheme=Naive Voting (NV), n=100, h=52026.01 | 0.87 | 0.95 | 3,065 | 0.23 | |
| GraN-DAGBase Learner=GraN-DAG, Aggregation Scheme=Standalone, n=100, h=52026.01 | 0.92 | 0.05 | 715 | 0.06 | |
| SCOREBase Learner=SCORE, Aggregation Scheme=Standalone, n=100, h=52026.01 | 0.92 | 0.58 | 4,039.6 | 0.14 | |
| SCORE + VISTA-NVBase Learner=SCORE, Aggregation Scheme=Naive Voting (NV), n=100, h=52026.01 | 0.95 | 0.76 | 3,464.2 | 0.09 |