In-depth Analysis of Densest Subgraph Discovery in a Unified Framework
Summary: Presents a unified high-level framework that subsumes exact and approximation Densest Subgraph Discovery algorithms and performs a systematic, large-scale empirical comparison across small to billion-node graphs. Identifies new algorithmic variants for undirected graphs—by combining existing techniques—to achieve up to 10× speedups with identical accuracy guarantees and surfaces practical and theoretical research directions. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Yingli Zhou (Chinese University of Hong Kong)
- 2. Qingshuo Guo (Chinese University of Hong Kong)
- 3. Yi Yang (Chinese University of Hong Kong)
- 4. Yixiang Fang (Chinese University of Hong Kong)
- 5. Chenhao Ma (Chinese University of Hong Kong)
- 6. Laks V.S. Lakshmanan (University of British Columbia)
BibTeX Citation
@article{zhou_vldb25,
title = {{In-depth Analysis of Densest Subgraph Discovery in a Unified Framework}},
author = {Zhou, Yingli and Guo, Qingshuo and Yang, Yi and Fang, Yixiang and Ma, Chenhao and Lakshmanan, Laks V.S.},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {4},
pages = {1131--1144},
doi = {10.14778/3717755.3717771},
url = {https://doi.org/10.14778/3717755.3717771},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,226 | Efficient Anchored Densest Subgraph Discovery: Improved Time Complexity and Practical Performance | 2026 | SIGMOD | 5.093636e-05 |
| 10,363 | Efficient and Scalable Directed Densest Subgraph Discovery | 2026 | SIGMOD | 5.093636e-05 |
| 10,930 | Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory | 2025 | VLDB | 5.093636e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,256 | Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs | 2024 | VLDB |
| 2 | 10,205 | Bound-Tightened Densest Subgraph Discovery on GPU | 2026 | SIGMOD |
| 3 | 9,519 | A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery | 2024 | SIGMOD |
| 4 | 8,822 | Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery | 2023 | SIGMOD |
| 5 | 10,363 | Efficient and Scalable Directed Densest Subgraph Discovery | 2026 | SIGMOD |
| 6 | 3,737 | Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs | 2020 | SIGMOD |
| 7 | 10,226 | Efficient Anchored Densest Subgraph Discovery: Improved Time Complexity and Practical Performance | 2026 | SIGMOD |
| 8 | 10,930 | Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory | 2025 | VLDB |
| 9 | 11,608 | Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques | 2022 | VLDB |
| 10 | 2,024 | Efficient Algorithms for Densest Subgraph Discovery | 2019 | VLDB |