Research map / Learning theory and algorithms / Clustering
Correlation Clustering in Constant Many Parallel Rounds
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the agreement-based OurAlgo instead of ClusterW or PPivot | Correlation clustering · dblp, uk, it, twitter, webbase | solution quality (disagreements) | Helped |
| Use the agreement-based OurAlgo instead of ClusterW or PPivot | Correlation clustering · dblp, uk, it, twitter, webbase | running time | Helped |
| Set λ = β = 0.1 rather than 0.05 (ablation) | OurAlgo · dblp, uk, it, twitter, webbase | relative running time: 1.0x -> 1.1\textbf{x}; 5.5\textbf{x} -> 6.5\textbf{x}; 10.5\textbf{x} -> 14.8\textbf{x}; 8.8\textbf{x} -> 15.5\textbf{x} | Mixed |
| Set λ = β = 0.2 rather than 0.05 (ablation) | OurAlgo · dblp, uk, it, twitter, webbase | relative running time: 1.0x -> 1.0\textbf{x}; 5.5\textbf{x} -> 10.7\textbf{x}; 10.5\textbf{x} -> 12.4\textbf{x}; 8.8\textbf{x} -> 13.9\textbf{x | Mixed |
| Increase λ and β from 0.05 to 0.2 (ablation) | OurAlgo · All five experimental graphs | fraction of intra-cluster edges: 1.000 -> 0.996; 0.955 -> 0.895; 0.972 -> 0.735; 0.990 -> 0.973; 0.988 -> 0.866 | Hurt |
Closest papers by meaning
- Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models (ICML 2024 · similarity 0.91)
- Online and Consistent Correlation Clustering (ICML 2022 · similarity 0.90)
- Efficient Testing for Correlation Clustering: Improved Algorithms and Optimal Bounds (ICLR 2026 · similarity 0.89)
- Improved Approximation Algorithms for Chromatic and Pseudometric-Weighted Correlation Clustering (NeurIPS 2025 · similarity 0.88)
- Learning-Augmented Streaming Algorithms for Correlation Clustering (NeurIPS 2025 · similarity 0.87)
- Dynamic Correlation Clustering in Sublinear Update Time (ICML 2024 · similarity 0.86)
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