Subgraph Matching: A New Decomposition Based Approach
Summary: ASMatch integrates fractional-hypertree-width tree decompositions with computation-sharing-aware attribute ordering and adaptive bag-match materialization. This unified optimization substantially reduces intermediate costs, outperforming backtracking and worst-case-optimal joins on challenging subgraph queries. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qiyan Li (Chinese University of Hong Kong)
- 2. Jeffrey Xu Yu (Chinese University of Hong Kong)
- 3. Zongyan He (Chinese University of Hong Kong)
BibTeX Citation
@article{li_vldb25,
title = {{Subgraph Matching: A New Decomposition Based Approach}},
author = {Li, Qiyan and Yu, Jeffrey Xu and He, Zongyan},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4282--4294},
doi = {10.14778/3749646.3749693},
url = {https://doi.org/10.14778/3749646.3749693},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,229 | Efficient Meta-subgraph Instance Search over Large Heterogeneous Information Networks | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 39 of 39 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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