Research map / Graph learning / Graph self-supervised learning
Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| joint modeling of topology and node content (NEMBP) vs topology-only DCSBM | community detection · Cora | NMI: 17.07 -> 44.08 | Helped |
| NEMBP vs best content+topology baseline SCI | community detection · 10 attributed networks | AC/NMI | Mixed |
| NEMBP vs CESNA for overlapping communities | overlapping community detection · Cora | F-score: 31.05 -> 56.55 | Helped |
| using content information in addition to topology (ablation) | DCSBM-style blockmodel · synthetic networks | NMI | Helped |
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- Community Detection Guarantees using Embeddings Learned by Node2Vec (NeurIPS 2024 · similarity 0.87)
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