Context-Free Path Querying via Matrix Equations
Summary: CFPQ evaluation via reduction to systems of matrix equations over R, enabling use of high-performance linear-algebra solvers. Real-world data applicability, leveraging a matrix-analytic framework for scalable CFG-inspired path queries on large graphs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuliya Susanina (JetBrains Research; Saint Petersburg State University)
BibTeX Citation
@inproceedings{susanina_sigmod20,
title = {{Context-Free Path Querying via Matrix Equations}},
author = {Susanina, Yuliya},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384400},
url = {https://dl.acm.org/doi/10.1145/3318464.3384400},
year = {2020}
}
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|---|---|---|---|---|
| 2,969 | Graph-Theoretic Methods In Database Theory | 1990 | PODS | 7.8873519e-05 |
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