Theoretically and Practically Efficient Parallel Nucleus Decomposition
Summary: A work-optimal, low-depth parallel nucleus decomposition via a new clique-peeling bound, scalable clique listing/bucketing, and cache-efficient multi-level hashing. Practical optimizations deliver up to 55× speedup and enable million-scale decompositions. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jessica Shi (Massachusetts Institute of Technology)
- 2. Laxman Dhulipala (Massachusetts Institute of Technology)
- 3. Julian Shun (Massachusetts Institute of Technology)
BibTeX Citation
@article{shi_vldb22,
title = {{Theoretically and Practically Efficient Parallel Nucleus Decomposition}},
author = {Shi, Jessica and Dhulipala, Laxman and Shun, Julian},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {3},
pages = {583--596},
doi = {10.14778/3494124.3494140},
url = {https://doi.org/10.14778/3494124.3494140},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,617 | Efficient Parallel D-core Decomposition at Scale | 2024 | VLDB | 5.8212982e-05 |
| 9,695 | Parallel Algorithms for Hierarchical Nucleus Decomposition | 2024 | SIGMOD | 5.2351259e-05 |
| 10,273 | Nucleus Decomposition Revisited: An Efficient Counting-Based Approach | 2026 | SIGMOD | 5.093636e-05 |
| 10,772 | Parallel k-Core Decomposition: Theory and Practice | 2025 | SIGMOD | 5.093636e-05 |
| 11,256 | Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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