Research map / Probabilistic and scientific modeling / Molecules and proteins
FILE: A Novel Framework for Predicting Social Status in Signed Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| integrate latent and explicit features with ranking loss (FILE vs best baseline) | signed link prediction · Slashdot@10 | GAUC: 0.721 -> 0.823 | Helped |
| FILE vs best baseline | signed link prediction · Epinions@10 | GAUC: 0.764 -> 0.826 | Helped |
| FILE vs best baseline | signed link prediction · Epinions@25 | GAUC: 0.843 -> 0.842 | No clear effect |
| FILE vs best baseline | signed link prediction · Wikipedia@50 | GAUC: 0.643 -> 0.595 | Hurt |
| FILE vs best baseline averaged over datasets | signed link prediction · 12 datasets | GAUC: 3.9% average | Helped |
| vary lambda and latent dimension r (ablation) | FILE · Slashdot@50 | GAUC: 0.823 to 0.856 | No clear effect |
| vary lambda and latent dimension r (ablation) | FILE · Epinions@50 | GAUC: 0.779 to 0.823 | No clear effect |
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