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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)

Paper ID
h1d262f6f2b68fdbb
Venue
SIGMOD
Year
2020
Pagerank
4.9793485e-05
Overall Rank
12,064 | 18.89%
DOI
10.1145/3318464.3384400

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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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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3,020 Graph-Theoretic Methods In Database Theory 1990 PODS 7.7448163e-05
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