Database Paper Browser

Back to papers

Finding Locally Densest Subgraphs: A Convex Programming Approach

Summary: Defines locally densest subgraph (LDS): densest in local neighborhoods to reveal multiple dense regions beyond the global DS. Convex-programming-based algorithm with pruning; up to 10^4× faster than the state of the art on seven real large graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12758
Venue
VLDB
Year
2022
Pagerank
6.9528126e-05
Overall Rank
3,575 | 75.14%
DOI
10.14778/3551793.3551826

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers