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Synthetic Graphs

Benchmarks

Task NameDataset NameSOTA ResultTrend
Causal DiscoverySynthetic Graphs (ER4, SF4) with Gaussian, Gumbel, and exponential noise
SHD4.28
15
Causal DiscoverySynthetic graphs N=50, E=50
F142.4
13
Graph EstimationSynthetic Graphs Variance Shifting GBF
Average Relative Error0.6
12
Runtime EfficiencySynthetic Graphs d=100
Runtime (s)0
12
Runtime EfficiencySynthetic Graphs d=50
Runtime (seconds)0
12
Runtime EfficiencySynthetic Graphs d=20
Runtime (seconds)0
12
Runtime EfficiencySynthetic Graphs d=10
Runtime (seconds)0
12
Runtime EfficiencySynthetic Graphs d=5
Runtime (s)0
12
Causal DiscoverySynthetic graphs N=100, E=100
SHD126.7
10
Causal DiscoverySynthetic graphs (N=20, E=30)
SHD26.7
7
Causal DiscoverySynthetic graphs (N=20, E=20)
Structural Hamming Distance (SHD)16.3
7
Subgraph CountingSynthetic graphs (test)
MAE (Triangle)0.0118
7
Graph ClassificationSynthetic Graphs (2880)
Mean F1 Score85.2
4
Graph ClassificationSynthetic Graphs 1080
Mean F1 Score79.2
4
Graph ClassificationSynthetic Graphs 360
Mean F1 Score76.7
4
Graph ClassificationSynthetic Graphs 180
Mean F1 Score73.7
4
Graph ClassificationSynthetic Graphs (90 graphs)
Mean F1 Score67.8
4
Skeleton RecoverySynthetic Graphs (d=500, n=1000)
Time (s)170.4
3
Skeleton RecoverySynthetic Graphs d=200, n=1000
Time (s)25.3
3
Skeleton RecoverySynthetic Graphs (d=100, n=1000)
Time (s)14.1
3
Discrete Stochastic Dynamics LearningSynthetic Graphs (N=6, beta=0.20)
Hellinger Distance0.069
2
Discrete Stochastic Dynamics LearningSynthetic Graphs (N=6, beta=0.10)
Hellinger Distance0.059
2
Discrete Stochastic Dynamics LearningSynthetic Graphs (N=6, beta=0.01)
Hellinger Distance0.066
2
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