Database Paper Browser

Back to papers

Efficient k-Clique Count Estimation with Accuracy Guarantee

Summary: SR-kCCE pre-determines s, the number of uniformly sampled k-cliques required to meet a provable accuracy guarantee and to estimate sampling time. It stops refining the superset sample space when elapsed time ≈ estimated sampling time, balancing construction vs sampling and enabling efficient u.a.r. sampling. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13576
Venue
VLDB
Year
2024
Pagerank
4.3441378e-05
Overall Rank
9,406 | 34.57%
DOI
10.14778/3681954.3682032

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,570 KClist++: A Simple Algorithm for Finding k-Clique Densest Subgraphs in Large Graphs 2020 VLDB 0.00011322927
4,145 Scaling Up k-Clique Densest Subgraph Detection 2023 SIGMOD 6.4122551e-05
4,270 Efficient k-Clique Listing: An Edge-Oriented Branching Strategy 2024 SIGMOD 6.3067205e-05
Previous Page 1 / 1 Next

Semantically Similar Papers