S^3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics
Summary: Introduces subgraph similarity search under aggregated neighbor-difference semantics, jointly capturing keyword and structural similarity beyond isomorphism/edit distance. Keyword-set and neighbor-difference lower bounds, plus a dedicated index, enable effective pruning and scalable search. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qi Wen (East China Normal University)
- 2. Yutong Ye (East China Normal University; Kent State University)
- 3. Xiang Lian (Kent State University)
- 4. Mingsong Chen (East China Normal University)
BibTeX Citation
@article{wen_vldb25,
title = {{S\^{}3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics}},
author = {Wen, Qi and Ye, Yutong and Lian, Xiang and Chen, Mingsong},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {3708--3720},
doi = {10.14778/3749466.3749648},
url = {https://doi.org/10.14778/3749466.3749648},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,280 | Periodic Community Search in Temporal Graphs: Time Series-based Methods | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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