Research map / Probabilistic and scientific modeling / Dynamical systems
A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Allow node-group memberships to evolve over time instead of keeping them static | DPGM vs. D-GPPF · NIPS 70 | AUC-PR: 0.072 -> 0.169 | Helped |
| Allow node-group memberships to evolve over time instead of keeping them static | DPGM vs. D-GPPF · DBLP 96 | AUC-PR: 0.249 -> 0.339 | Helped |
| Allow node-group memberships to evolve over time instead of keeping them static | DPGM vs. D-GPPF · Enron 61 | AUC-PR: 0.649 -> 0.712 | Helped |
| Allow node-group memberships to evolve over time instead of keeping them static | DPGM vs. HGP-EPM · NIPS 70 | AUC-ROC: 0.947 -> 0.970 | Helped |
| Allow node-group memberships to evolve over time instead of keeping them static | DPGM vs. HGP-EPM · DBLP 96 | AUC-ROC: 0.936 -> 0.967 | Helped |
| Allow node-group memberships to evolve over time instead of keeping them static | DPGM vs. HGP-EPM · Enron 61 | AUC-ROC: 0.931 -> 0.971 | Helped |
| Use online rather than batch Gibbs sampling | DPGM · NIPS 5K | AUC-PR: 0.129 -> 0.104 | Hurt |
| Use online rather than batch Gibbs sampling | DPGM · DBLP 7K | AUC-ROC: 0.923 -> 0.911 | Hurt |
| Use online rather than batch Gibbs sampling | DPGM · Enron 2K | AUC-PR: 0.398 -> 0.346 | Hurt |
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