DBScholar

Back to papers

A Partition-Based Approach to Structure Similarity Search

Summary: Partition-based, var-size partitions convert edit-distance search to graph containment for candidate generation, addressing vertex degrees. Adds pruning, improved GED, and cost-aware partitioning, yielding gains vs fixed-substructure methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11041
Venue
VLDB
Year
2014
Pagerank
7.3491042e-05
Overall Rank
3,522 | 75.84%
DOI
10.14778/2732232.2732235

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhao_vldb14,
        title = {{A Partition-Based Approach to Structure Similarity Search}},
        author = {Zhao, Xiang and Xiao, Chuan and Lin, Xuemin and Liu, Qing and Zhang, Wenjie},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {3},
        pages = {169--180},
        doi = {10.14778/2732232.2732235},
        url = {https://doi.org/10.14778/2732232.2732235},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 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