Machine Learning for Subgraph Extraction: Methods, Applications and Challenges
Summary: Survey of ML-based approaches for subgraph extraction covering subgraph isomorphism, maximum common subgraph, community detection and community search; contrasts learning methods with classical algorithms in efficiency, scalability and effectiveness. Analyzes model designs, empirical performance, applications, datasets and open challenges to guide future database research. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kai Siong Yow (Nanyang Technological University)
- 2. Ningyi Liao (Nanyang Technological University)
- 3. Siqiang Luo (Nanyang Technological University)
- 4. Reynold Cheng (University of Hong Kong)
BibTeX Citation
@article{yow_vldb23,
title = {{Machine Learning for Subgraph Extraction: Methods, Applications and Challenges}},
author = {Yow, Kai Siong and Liao, Ningyi and Luo, Siqiang and Cheng, Reynold},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {3864--3867},
doi = {10.14778/3611540.3611571},
url = {https://doi.org/10.14778/3611540.3611571},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,073 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB | 5.2283159e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,441 | ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network | 2021 | VLDB | 8.4621326e-05 |
| 2,634 | Neural Subgraph Counting with Wasserstein Estimator | 2022 | SIGMOD | 8.1993804e-05 |
| 2,940 | Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed | 2022 | VLDB | 7.8334815e-05 |
| 3,160 | A Learned Sketch for Subgraph Counting | 2021 | SIGMOD | 7.5807496e-05 |
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