The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering
Summary: ParClusterers Benchmark Suite (PCBS): a suite of scalable parallel graph-clustering algorithms and tooling for fine‑grained runtime/quality comparison across community detection, classification, and dense‑subgraph mining. Ships a unique LambdaCC correlation‑clustering solver; empirically >4× faster than the fastest compared library while achieving top quality on most datasets. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Shangdi Yu
- 2. Jessica Shi
- 3. Jamison Meindl
- 4. David Eisenstat
- 5. Xiaoen Ju
- 6. Sasan Tavakkol
- 7. Laxman Dhulipala
- 8. Jakub Łącki
- 9. Vahab Mirrokni
- 10. Julian Shun
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,436 | Efficient Structural Graph Clustering: An Index-Based Approach | 2018 | VLDB | 8.8252104e-05 |
| 4,485 | Parallel Index-Based Structural Graph Clustering and Its Approximation | 2021 | SIGMOD | 6.1458149e-05 |
| 6,001 | GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra | 2021 | VLDB | 5.2415551e-05 |
| 7,871 | ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms | 2021 | VLDB | 4.6308128e-05 |
| 9,681 | TeraHAC: Hierarchical Agglomerative Clustering of Trillion-Edge Graphs | 2023 | SIGMOD | 4.3047774e-05 |
| 13,251 | Scalable Community Detection via Parallel Correlation Clustering | 2021 | VLDB | - |
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