Research map / Probabilistic and scientific modeling / Molecules and proteins
Diffusion Network Inference from Partial Observations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use POIND's iterative missing-status imputation and transmission-probability learning instead of applying TWIND to ad-hoc completed data | Diffusion network inference · LFR synthetic networks | F-score | Helped |
| Use POIND instead of the complete-data TWIND baseline | Diffusion network inference · NetSci | F-score | Helped |
| Use POIND instead of the complete-data TWIND baseline | Diffusion network inference · DUNF | F-score | Helped |
| Use POIND's iterative inference instead of TWIND | Diffusion network inference · LFR synthetic networks | running time | Hurt |
| Increase the maximum number of POIND iterations (ablation) | POIND · NetSci and DUNF | running time | Hurt |
| Increase the maximum number of POIND iterations (ablation) | POIND · NetSci and DUNF | F-score | No clear effect |
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