Causal Structural Learning on Erdős-Rényi (ER) Model n=1000 Scenario S5 (small)
2FDRNSCSL-DE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| NSCSL-DEp=50, n=10002023.01 | 2 | 29 | 10.08 | 119 | |
| NSCSL-TEp=50, n=10002023.01 | 3 | 86 | 2.18 | 110.1 | |
| NOTEARSp=50, n=10002023.01 | 86 | 93 | 79.2 | 128.3 | |
| LINGAMp=50, n=10002023.01 | 86 | 97 | 86.12 | 43.1 | |
| DAGGNNp=50, n=10002023.01 | 87 | 93 | 87.5 | 49.3 | |
| GSGESp=50, n=10002023.01 | 89 | 19 | 93.54 | 31.2 | |
| CAMp=50, n=10002023.01 | 93 | 66 | 126 | 28.4 | |
| PCp=50, n=10002023.01 | 96 | 7 | 82.12 | 20.9 | |
| FCIp=50, n=10002023.01 | 96 | 8 | 84 | 14.3 |