Theoretically and Practically Efficient Parallel Nucleus Decomposition
Summary: Parallel nucleus decomposition with work matching the best sequential bounds and low depth, surpassing PVLDB 2018's parallel method. Key ideas: clique-peeling bound, parallel clique listing/bucketing, and cache-friendly multi-level hash tables, delivering up to 55x speedup on 30 cores. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jessica Shi
- 2. Laxman Dhulipala
- 3. Julian Shun
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,509 | Efficient Parallel D-core Decomposition at Scale | 2024 | VLDB | 5.0273291e-05 |
| 10,505 | Parallel k-Core Decomposition: Theory and Practice | 2025 | SIGMOD | 4.1905499e-05 |
| 10,950 | Parallel Algorithms for Hierarchical Nucleus Decomposition | 2024 | SIGMOD | 4.1905499e-05 |
| 11,051 | Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs | 2024 | VLDB | 4.1905499e-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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| 6,509 | Efficient Parallel D-core Decomposition at Scale | 2024 | VLDB | 5.0273291e-05 |
| 10,505 | Parallel k-Core Decomposition: Theory and Practice | 2025 | SIGMOD | 4.1905499e-05 |
| 10,950 | Parallel Algorithms for Hierarchical Nucleus Decomposition | 2024 | SIGMOD | 4.1905499e-05 |