RapidFlow: An Efficient Approach to Continuous Subgraph Matching
Summary: RapidFlow reduces continuous subgraph matching to batch matching over the update-affected region, enabling effective orders beyond edge-anchored search. Its dual matching removes automorphism redundancy, outperforming TurboFlux and SymBi by up to 100×. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Shixuan Sun (National University of Singapore)
- 2. Xibo Sun (Hong Kong University of Science and Technology)
- 3. Bingsheng He (National University of Singapore)
- 4. Qiong Luo (Hong Kong University of Science and Technology)
BibTeX Citation
@article{sun_vldb22,
title = {{RapidFlow: An Efficient Approach to Continuous Subgraph Matching}},
author = {Sun, Shixuan and Sun, Xibo and He, Bingsheng and Luo, Qiong},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2415--2427},
doi = {10.14778/3551793.3551803},
url = {https://doi.org/10.14778/3551793.3551803},
year = {2022}
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