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Representation Learning for Scale-Free Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Apply degree-penalized embedding rather than the strongest baseline | Network reconstruction · Synthetic, Facebook, Twitter, Coauthor, Citation, Mobile | Pearson correlation: 0.47 -> 0.94 (Synthetic); 0.73 -> 0.87 (Facebook); 0.17 -> 0.50 (Twitter); 0.66 -> 0.75 (Coauthor); 0.51 -> 0.62 (Citati | Helped |
| Use degree-penalized spectral embeddings rather than the strongest baseline | Link prediction · Synthetic, Twitter, Coauthor, Citation, Mobile | F1: 0.53 -> 0.66 (Synthetic); 0.70 -> 0.73 (Twitter); 0.70 -> 0.73 (Coauthor); 0.55 -> 0.68 (Citation); 0.48 -> 0.74 (Mobile | Helped |
| Use degree-penalized spectral embeddings rather than the strongest baseline | Link prediction · Facebook | F1: 0.90 -> 0.85 | Hurt |
| Use DP-Spectral rather than the strongest baseline | Vertex classification · Citation: Architecture, Computer Science, Data Mining, Theory, Graphics | accuracy: 0.54 -> 0.71 (Architecture); 0.52 -> 0.78 (Computer Science); 0.56 -> 0.76 (Data Mining); 0.56 -> 0.74 (Theory); 0.56 -> | Helped |
| Use DP-Spectral rather than the strongest baseline | Vertex classification · Citation: Computer Network, Unknown | accuracy: 0.75 -> 0.74 (Computer Network); 0.86 -> 0.85 (Unknown) | Hurt |
| Increase embedding dimension (ablation) | DP-Spectral and DP-Walker · Synthetic and Facebook | Pearson correlation | Helped |
| Increase embedding dimension (ablation) | DP-Walker · Synthetic and Facebook | Pearson correlation | No clear effect |
| Vary degree-penalty parameter β (ablation) | DP-Spectral · Synthetic and Facebook | Pearson correlation | Mixed |
| Vary degree-penalty parameter β (ablation) | DP-Walker · Synthetic and Facebook | Pearson correlation | Mixed |
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