Parallel Colorful h-star Core Maintenance in Dynamic Graphs
Summary: Introduces highly-parallel local algorithms for colorful h-star core decomposition using a novel colorful h-star n-order H-index to avoid sequential peeling. Adds three optimizations and dynamic maintenance with lower/upper bounds to skip unaffected nodes, yielding ~10× faster convergence and ~1000× speedups on large real-world graphs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sen Gao
- 2. Hongchao Qin
- 3. Rong-Hua Li
- 4. Bingsheng He
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,484 | Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries | 2024 | VLDB | 4.3341665e-05 |
| 11,048 | Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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