Synthetic Graphs
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Causal Discovery | Synthetic Graphs (ER4, SF4) with Gaussian, Gumbel, and exponential noise | SHD4.28 | 15 | |
| Causal Discovery | Synthetic graphs N=50, E=50 | F142.4 | 13 | |
| Runtime Efficiency | Synthetic Graphs d=100 | Runtime (s)0 | 12 | |
| Runtime Efficiency | Synthetic Graphs d=50 | Runtime (seconds)0 | 12 | |
| Runtime Efficiency | Synthetic Graphs d=20 | Runtime (seconds)0 | 12 | |
| Runtime Efficiency | Synthetic Graphs d=10 | Runtime (seconds)0 | 12 | |
| Runtime Efficiency | Synthetic Graphs d=5 | Runtime (s)0 | 12 | |
| Causal Discovery | Synthetic graphs N=100, E=100 | SHD126.7 | 10 | |
| Causal Discovery | Synthetic graphs (N=20, E=30) | SHD26.7 | 7 | |
| Causal Discovery | Synthetic graphs (N=20, E=20) | Structural Hamming Distance (SHD)16.3 | 7 | |
| Subgraph Counting | Synthetic graphs (test) | MAE (Triangle)0.0118 | 7 | |
| Skeleton Recovery | Synthetic Graphs (d=500, n=1000) | Time (s)170.4 | 3 | |
| Skeleton Recovery | Synthetic Graphs d=200, n=1000 | Time (s)25.3 | 3 | |
| Skeleton Recovery | Synthetic Graphs (d=100, n=1000) | Time (s)14.1 | 3 | |
| Discrete Stochastic Dynamics Learning | Synthetic Graphs (N=6, beta=0.20) | Hellinger Distance0.069 | 2 | |
| Discrete Stochastic Dynamics Learning | Synthetic Graphs (N=6, beta=0.10) | Hellinger Distance0.059 | 2 | |
| Discrete Stochastic Dynamics Learning | Synthetic Graphs (N=6, beta=0.01) | Hellinger Distance0.066 | 2 |
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