Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach
Summary: FaSTest prunes candidate isomorphic embeddings via aggressive structural filtering and employs adaptive tree sampling for low-variance subgraph cardinality estimates. Adds a worst-case optimal stratified sampler for hard instances; shows up to 100× (sampling) and 1000× (GNN) accuracy gains on real graphs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wonseok Shin (Seoul National University)
- 2. Siwoo Song (Seoul National University)
- 3. Kunsoo Park (Seoul National University)
- 4. Wook-Shin Han (Pohang University of Science and Technology)
BibTeX Citation
@article{shin_vldb24,
title = {{Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach}},
author = {Shin, Wonseok and Song, Siwoo and Park, Kunsoo and Han, Wook-Shin},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {7},
pages = {1697--1709},
doi = {10.14778/3654621.3654635},
url = {https://doi.org/10.14778/3654621.3654635},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,617 | NeuSO: Neural Optimizer for Subgraph Queries | 2026 | SIGMOD | 5.2434488e-05 |
| 9,693 | Subgraph Matching: A New Decomposition Based Approach | 2025 | VLDB | 5.2351259e-05 |
| 10,027 | Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation | 2025 | VLDB | 5.1745962e-05 |
| 10,575 | AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling | 2026 | VLDB | 5.093636e-05 |
| 10,753 | Clementi: Efficient Load Balancing and Communication Overlap for Multi-FPGA Graph Processing | 2025 | SIGMOD | 5.093636e-05 |
| 10,885 | Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach | 2025 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next