Fast Local Subgraph Counting
Summary: Tree-decomposition-based method for local k-node subgraph counting Q=(p,o): decompose pattern p into best tree T and reduce global subgraph-isomorphism to a constrained homomorphism on T plus per-tree-node subgraph-isomorphisms. Applies symmetry-breaking and a novel multi-join algorithm to speed per-node isomorphism counts; single-core single-machine implementation outperforms prior approaches and is aimed at producing GNN-ready node features. (summarized by gpt-5-mini on Feb 09 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)
BibTeX Citation
@article{li_vldb24,
title = {{Fast Local Subgraph Counting}},
author = {Li, Qiyan and Yu, Jeffrey Xu},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {8},
pages = {1967--1980},
doi = {10.14778/3659437.3659451},
url = {https://doi.org/10.14778/3659437.3659451},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,693 | Subgraph Matching: A New Decomposition Based Approach | 2025 | VLDB | 5.2351259e-05 |
| 10,877 | Efficient and Adaptive Estimation of Local Triadic Coefficients | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 30 of 30 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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