Efficient Parallel D-core Decomposition at Scale
Summary: Proposes multicore parallel algorithms for full D-core ((k,l)-core) decomposition using implicit level-by-level vertex removal per k to reduce dependencies while keeping sequential-like time complexity. Introduces D-shell to prune redundant k-values and derive larger-k D-cores, achieving up to 100× speedup over prior parallel methods on 32 threads for large graphs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wensheng Luo
- 2. Yixiang Fang
- 3. Chunxu Lin
- 4. Yingli Zhou
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,246 | Anchored Maximum Communities over Large Directed Graphs | 2026 | VLDB | 4.1945683e-05 |
| 10,495 | Parallel k-Core Decomposition: Theory and Practice | 2025 | SIGMOD | 4.1945683e-05 |
| 10,535 | In-depth Analysis of Densest Subgraph Discovery in a Unified Framework | 2025 | VLDB | 4.1945683e-05 |
| 10,681 | Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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