Research map / Image generation / Fast diffusion sampling
COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| jointly learn infectivity and community-preserving embeddings instead of pipelining them (ablation) | COSINE · Synthetic, lambda=0.15 | AUC: 0.7717 -> 0.8425 | Helped |
| jointly learn infectivity and community-preserving embeddings instead of pipelining them (ablation) | COSINE · Synthetic, lambda=0.05 | AUC: 0.7846 -> 0.8219∗ | Helped |
| jointly learn infectivity and community-preserving embeddings instead of pipelining them (ablation) | COSINE · Synthetic, community detection | NMI | Helped |
| use COSINE instead of CDK (ablation) | COSINE · Synthetic, lambda=0.20 | AUC: 0.7989 -> 0.8378‡ | Helped |
| increase embedding dimensions up to about 50 (ablation) | COSINE · Synthetic | NMI and AUC | Helped |
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