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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)
- Paper ID
- 13785
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,544 | 26.72%
- DOI
-
10.14778/3717755.3717771
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
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.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 395 |
One Trillion Edges: Graph Processing at Facebook-Scale |
2015 |
VLDB |
0.00024440144 |
| 645 |
Densest Subgraph in Streaming and MapReduce |
2012 |
VLDB |
0.00018727714 |
| 888 |
Maximum Biclique Search at Billion Scale |
2020 |
VLDB |
0.00015549756 |
| 1,570 |
KClist++: A Simple Algorithm for Finding k-Clique Densest Subgraphs in Large Graphs |
2020 |
VLDB |
0.00011311977 |
| 1,641 |
Truss-based Community Search over Large Directed Graphs |
2020 |
SIGMOD |
0.00011044805 |
| 2,527 |
Efficient Algorithms for Maximal k-Biplex Enumeration |
2022 |
SIGMOD |
8.5982912e-05 |
| 2,913 |
Efficient Algorithms for Densest Subgraph Discovery |
2019 |
VLDB |
7.9229304e-05 |
| 3,579 |
Finding Locally Densest Subgraphs: A Convex Programming Approach |
2022 |
VLDB |
6.9461197e-05 |
| 4,147 |
Scaling Up k-Clique Densest Subgraph Detection |
2023 |
SIGMOD |
6.4060893e-05 |
| 4,341 |
Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs |
2020 |
SIGMOD |
6.268429e-05 |
| 5,274 |
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery |
2022 |
SIGMOD |
5.5919087e-05 |
| 5,302 |
Distributed D-core Decomposition over Large Directed Graphs |
2022 |
VLDB |
5.5746393e-05 |
| 5,365 |
Anchored Densest Subgraph |
2022 |
SIGMOD |
5.5463723e-05 |
| 5,620 |
Influential Community Search over Large Heterogeneous Information Networks |
2023 |
VLDB |
5.4066581e-05 |
| 6,446 |
On A Quest for Combating Filter Bubbles and Misinformation |
2022 |
SIGMOD |
5.0535002e-05 |
| 6,509 |
Efficient Parallel D-core Decomposition at Scale |
2024 |
VLDB |
5.0273291e-05 |
| 7,343 |
I/O Efficient ECC Graph Decomposition via Graph Reduction |
2016 |
VLDB |
4.7511136e-05 |
| 8,809 |
Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks |
2024 |
VLDB |
4.4401156e-05 |
| 9,409 |
A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery |
2024 |
SIGMOD |
4.3399748e-05 |
| 9,652 |
Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery |
2023 |
SIGMOD |
4.3067693e-05 |
| 11,413 |
Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques |
2022 |
VLDB |
4.1905499e-05 |
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2023 |
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| 10,072 |
Efficient and Scalable Directed Densest Subgraph Discovery |
2026 |
SIGMOD |
4.1905499e-05 |
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Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs |
2020 |
SIGMOD |
6.268429e-05 |
| 10,689 |
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2025 |
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4.1905499e-05 |
| 11,413 |
Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques |
2022 |
VLDB |
4.1905499e-05 |
| 2,913 |
Efficient Algorithms for Densest Subgraph Discovery |
2019 |
VLDB |
7.9229304e-05 |