A Learned Sketch for Subgraph Counting
Summary: Active Learned Sketch for Subgraph Counting (ALSS) fuses a neural regression sketch with an active-learning loop to update on new query graphs. Targets large labeled graphs, enabling accurate, scalable subgraph counting and aiding optimizers for multi-way self-joins. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kangfei Zhao (Chinese University of Hong Kong)
- 2. Jeffrey Xu Yu (Chinese University of Hong Kong)
- 3. Hao Zhang (Chinese University of Hong Kong)
- 4. Qiyan Li (Wuhan University)
- 5. Yu Rong (Tencent)
BibTeX Citation
@inproceedings{zhao_sigmod21,
title = {{A Learned Sketch for Subgraph Counting}},
author = {Zhao, Kangfei and Yu, Jeffrey Xu and Zhang, Hao and Li, Qiyan and Rong, Yu},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457289},
url = {https://dl.acm.org/doi/10.1145/3448016.3457289},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 29 of 29 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 9,844 | Cardinality Estimation of LIKE Predicate Queries using Deep Learning | 2025 | SIGMOD |
| 2 | 84 | Learned Cardinalities: Estimating Correlated Joins with Deep Learning | 2019 | CIDR |
| 3 | 11,067 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB |
| 4 | 3,213 | Estimating Cardinalities with Deep Sketches | 2019 | SIGMOD |
| 5 | 8,256 | Machine Learning for Subgraph Extraction: Methods, Applications and Challenges | 2023 | VLDB |
| 6 | 7,268 | Cardinality Estimation of Approximate Substring Queries using Deep Learning | 2022 | VLDB |
| 7 | 2,723 | Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation | 2022 | VLDB |
| 8 | 5,712 | Sample-Efficient Cardinality Estimation Using Geometric Deep Learning | 2024 | VLDB |
| 9 | 10,885 | Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning Based Approach | 2025 | VLDB |
| 10 | 2,731 | Neural Subgraph Counting with Wasserstein Estimator | 2022 | SIGMOD |