Causal Structural Learning on Erdős-Rényi (ER) Model n=3000 Scenario S5 (large)
0.01FDRNSCSL-DE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| NSCSL-DEp=50, n=30002023.01 | 0.01 | 0.28 | 9.76 | 23.5 | |
| NSCSL-TEp=50, n=30002023.01 | 0.02 | 0.93 | 1.58 | 21.1 | |
| NOTEARSp=50, n=30002023.01 | 0.85 | 0.92 | 77.12 | 26.9 | |
| LINGAMp=50, n=30002023.01 | 0.86 | 0.99 | 85.7 | 145.3 | |
| DAGGNNp=50, n=30002023.01 | 0.88 | 0.94 | 85.62 | 81.1 | |
| GSGESp=50, n=30002023.01 | 0.93 | 0.12 | 95.7 | 45.3 | |
| CAMp=50, n=30002023.01 | 0.95 | 0.67 | 127.8 | 75.6 | |
| PCp=50, n=30002023.01 | 0.97 | 0.06 | 88.28 | 35.9 | |
| FCIp=50, n=30002023.01 | 0.97 | 0.07 | 88.5 | 17.7 |