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}
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