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Benchmarks
Synthetic Network Generation on Simulated sparse networks n=1500, r=4
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0.63
Triangle RMSE
SyNG-D
0.5332
1.1866
1.84
2.4934
May 31, 2026
Triangle RMSE
Triangle Bias
Clustering RMSE
Clustering Bias
Eigenvalue Energy
Eigenvalue KS Statistic
Degree Centrality Energy
Degree Centrality KS Statistic
Updated 1d ago
Evaluation Results
Method
Method
Links
Triangle RMSE
Triangle Bias
Clustering RMSE
Clustering Bias
Eigenvalue Energy
Eigenvalue KS Statistic
Degree Centrality Energy
Degree Centrality KS Statistic
SyNG-D
2026.05
0.63
0.57
4.58
4.07
7.09
12.09
1.59
6.42
SyNG-R
2026.05
1.35
1.26
9.8
9.65
9.41
14.45
2.52
9.58
VGAE
2026.05
3.05
-2.78
37.4
-35
17.26
32.46
9.25
48.18
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