Multi-Query Optimization for Subgraph Isomorphism Search
Summary: Multi-query optimization for subgraph isomorphism that jointly exploits overlapping subgraphs across queries, via a data structure to detect and organize them. A heuristic plan maximizes reuse of cached intermediates with a balanced caching scheme and adaptation of single-query solvers to reuse cached results; experiments show gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xuguang Ren (Griffith University)
- 2. Junhu Wang (Griffith University)
BibTeX Citation
@article{ren_vldb17,
title = {{Multi-Query Optimization for Subgraph Isomorphism Search}},
author = {Ren, Xuguang and Wang, Junhu},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {3},
pages = {121--132},
doi = {10.14778/3021924.3021929},
url = {https://doi.org/10.14778/3021924.3021929},
year = {2017}
}
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