DBScholar

Back to papers

Effective Indexing for Dynamic Structural Graph Clustering

Summary: Presents a parameter-free index for approximate SCAN clustering on dynamic graphs under Jaccard similarity. Bottom-k vertex sketches and bucketing enable efficient updates, with probabilistic guarantees and up to 100× speedups over prior indexing. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12962
Venue
VLDB
Year
2022
Pagerank
5.6920203e-05
Overall Rank
7,141 | 51.01%
DOI
10.14778/3551793.3551840

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb22,
        title = {{Effective Indexing for Dynamic Structural Graph Clustering}},
        author = {Zhang, Fangyuan and Wang, Sibo},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {11},
        pages = {2908--2920},
        doi = {10.14778/3551793.3551840},
        url = {https://doi.org/10.14778/3551793.3551840},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 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