Research map / Graph learning / Graph algorithms and clustering
Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add joint partial-anomaly modeling (PAICAN) vs best baseline LSBM | LSBM · Lawyers | NMI: 0.50 -> 0.66 | Helped |
| add partial-anomaly modeling (PAICAN vs LSBM) | LSBM · HVR | NMI: 0.83 -> 0.89 | Helped |
| add partial-anomaly modeling (PAICAN vs LSBM) | LSBM · Parliament | NMI: 0.77 -> 0.78 | No clear effect |
| add partial-anomaly modeling (PAICAN vs LSBM) | LSBM · Cora | NMI: 0.52 -> 0.53 | Helped |
| add power-law degree correction and anomaly handling vs competitors | PAICAN · synthetic power-law graphs | NMI | Helped |
| disable anomaly detection (PAICAN C) (ablation) | PAICAN · synthetic data with 0-30% anomalies | NMI | Helped |
| model partial anomalies (graph/attribute) in addition to complete anomalies | PAICAN · synthetic partial anomaly data | NMI/F1 | Helped |
Closest papers by meaning
- Graph Clustering: Block-models and model free results (NeurIPS 2016 · similarity 0.87)
- Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees (ICML 2023 · similarity 0.87)
- Multi-View Stochastic Block Models (ICML 2024 · similarity 0.87)
- Attribute-Missing Multi-view Graph Clustering (CVPR 2025 · similarity 0.86)
- DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization (AAAI 2024 · similarity 0.86)
- Optimal Graph Clustering without Edge Density Signals (NeurIPS 2025 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.