Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs
Summary: Links density decomposition to locally-densest-subgraph decomposition, enabling network-flow/divide-and-conquer algorithms. Reduces static complexity from O(m²) to O(m^(3/2) log p) and supports dynamic updates in O(m), yielding fewer, more meaningful dense layers. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yalong Zhang (Beijing Institute of Technology)
- 2. Rong-Hua Li (Beijing Institute of Technology)
- 3. Qi Zhang (Beijing Institute of Technology)
- 4. Hongchao Qin (Beijing Institute of Technology)
- 5. Guoren Wang (Beijing Institute of Technology)
BibTeX Citation
@article{zhang_vldb24,
title = {{Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs}},
author = {Zhang, Yalong and Li, Rong-Hua and Zhang, Qi and Qin, Hongchao and Wang, Guoren},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {2933--2945},
doi = {10.14778/3681954.3681974},
url = {https://doi.org/10.14778/3681954.3681974},
year = {2024}
}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,767 | Integral Densest Subgraph Search on Directed Graphs | 2025 | SIGMOD | 5.093636e-05 |
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