| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Causal Discovery | Synthetic DAGs | TPR1 | 125 | |
| DAG Learning | Synthetic DAGs (100 nodes, 400 edges) v1 | SHD60 | 51 | |
| DAG Learning | Synthetic Large DAGs | Runtime (s)21 | 12 | |
| Learning Directed Acyclic Graphs | Synthetic DAGs Gumbel noise distribution 1.0 (test) | SHD350 | 5 | |
| Learning Directed Acyclic Graphs | Synthetic DAGs Default: 100 nodes, 400 edges, ER, Gaussian, n=1000 1.0 (test) | SHD285 | 5 | |
| Learning Directed Acyclic Graphs | Synthetic DAGs Dense root causes: p=0.5 1.0 (test) | SHD271 | 4 | |
| Learning Directed Acyclic Graphs | Synthetic DAGs High edge density: 1000 edges 1.0 (test) | SHD961 | 4 | |
| Learning Directed Acyclic Graphs | Synthetic DAGs Scale-free graph type 1.0 (test) | SHD187 | 4 | |
| Causal Discovery | Synthetic DAGs 3000 samples | CI Test Ratio100 | 4 | |
| Causal Discovery | Synthetic DAGs 1000 samples | # CI Tests Ratio1 | 4 | |
| Causal Discovery | Synthetic DAGs 500 samples | # CI Tests Ratio1 | 4 | |
| Causal Discovery | Synthetic DAGs 200 samples | CI Tests Ratio1.1 | 4 | |
| Causal Discovery | Synthetic DAGs 100 samples | CI Test Ratio130 | 4 | |
| Learning Directed Acyclic Graphs | Synthetic DAGs Larger weights in A 1.0 (test) | SHD135 | 3 | |
| Learning Directed Acyclic Graphs | Synthetic DAGs Standardized data 1.0 (test) | SHD329 | 3 | |
| Learning Directed Acyclic Graphs | Synthetic DAGs High noise deviation: sigma=0.1 1.0 (test) | SHD341 | 2 | |
| Learning Directed Acyclic Graphs | Synthetic DAGs Fixed support 1.0 (test) | SHD390 | 1 |