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Efficient and Scalable Directed Densest Subgraph Discovery
Summary: Novel provable graph-reduction that isolates the directed densest subgraph into a much smaller instance, enabling drastic pruning. A gradient-projection approximation with faster convergence and an exact algorithm built on it, yielding up to 100× speedups.
(summarized by gpt-5-mini on Feb 11 2026)
- Paper ID
- 7382
- Venue
- SIGMOD
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,072 | 30.00%
- DOI
-
10.1145/3769785
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 57 |
Discovering Large Dense Subgraphs in Massive Graphs |
2005 |
VLDB |
0.00065421423 |
| 645 |
Densest Subgraph in Streaming and MapReduce |
2012 |
VLDB |
0.00018727714 |
| 1,029 |
Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification |
2012 |
VLDB |
0.00014568714 |
| 1,570 |
KClist++: A Simple Algorithm for Finding k-Clique Densest Subgraphs in Large Graphs |
2020 |
VLDB |
0.00011311977 |
| 2,913 |
Efficient Algorithms for Densest Subgraph Discovery |
2019 |
VLDB |
7.9229304e-05 |
| 3,406 |
Piggybacking on Social Networks |
2013 |
VLDB |
7.1298853e-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 |
| 4,877 |
Discovering Polarization Niches via Dense Subgraphs with Attractors and Repulsers |
2022 |
VLDB |
5.8537804e-05 |
| 5,274 |
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery |
2022 |
SIGMOD |
5.5919087e-05 |
| 5,365 |
Anchored Densest Subgraph |
2022 |
SIGMOD |
5.5463723e-05 |
| 5,599 |
Neighborhood-based Hypergraph Core Decomposition |
2023 |
VLDB |
5.4164926e-05 |
| 6,446 |
On A Quest for Combating Filter Bubbles and Misinformation |
2022 |
SIGMOD |
5.0535002e-05 |
| 9,251 |
Densest Multipartite Subgraph Search in Heterogeneous Information Networks |
2024 |
VLDB |
4.3648789e-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 |
| 10,544 |
In-depth Analysis of Densest Subgraph Discovery in a Unified Framework |
2025 |
VLDB |
4.1905499e-05 |
| 10,689 |
Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory |
2025 |
VLDB |
4.1905499e-05 |
| 11,413 |
Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques |
2022 |
VLDB |
4.1905499e-05 |
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| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 9,409 |
A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery |
2024 |
SIGMOD |
4.3399748e-05 |
| 5,365 |
Anchored Densest Subgraph |
2022 |
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2025 |
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Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory |
2025 |
VLDB |
4.1905499e-05 |
| 10,544 |
In-depth Analysis of Densest Subgraph Discovery in a Unified Framework |
2025 |
VLDB |
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 |
| 5,274 |
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery |
2022 |
SIGMOD |
5.5919087e-05 |
| 4,341 |
Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs |
2020 |
SIGMOD |
6.268429e-05 |