Research map / Graph learning / Graph self-supervised learning
Community Detection in Social Networks Considering Topic Correlations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| model topic correlations and separate node contents from link contents in a generative model (TCCD vs second-best baseline) | community detection · Reddit | NMI: 41.61 -> 59.07 | Helped |
| TCCD vs second-best baseline | community detection · DBLP | NMI: 31.77 -> 44.23 | Helped |
| TCCD vs second-best baseline | community detection · Reddit | F-score: 80.49 -> 82.95 | Helped |
| TCCD vs second-best baseline | community detection · DBLP | Jaccard: 65.26 -> 69.10 | Helped |
| vary Dirichlet hyperparameters (ablation) | TCCD · Reddit/DBLP | accuracy | No clear effect |
Closest papers by meaning
- Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics (AAAI 2018 · similarity 0.86)
- Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents (AAAI 2017 · similarity 0.84)
- Semantic Community Identification in Large Attribute Networks (AAAI 2016 · similarity 0.83)
- Community Detection Guarantees using Embeddings Learned by Node2Vec (NeurIPS 2024 · similarity 0.77)
- Harnessing Multiple Correlated Networks for Exact Community Recovery (NeurIPS 2024 · similarity 0.77)
- Network Tight Community Detection (ICML 2024 · similarity 0.76)
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