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- W3136555884 abstract "A regular path query (RPQ) is a regular expression q that returns all node pairs (u, v) from a graph database that are connected by an arbitrary path labelled with a word from L(q). The obvious algorithmic approach to RPQ evaluation (called PG-approach), i. e., constructing the product graph between an NFA for q and the graph database, is appealing due to its simplicity and also leads to efficient algorithms. However, it is unclear whether the PG-approach is optimal. We address this question by thoroughly investigating which upper complexity bounds can be achieved by the PG-approach, and we complement these with conditional lower bounds (in the sense of the fine-grained complexity framework). A special focus is put on enumeration and delay bounds, as well as the data complexity perspective. A main insight is that we can achieve optimal (or near optimal) algorithms with the PG-approach, but the delay for enumeration is rather high (linear in the database). We explore three successful approaches towards enumeration with sub-linear delay: super-linear preprocessing, approximations of the solution sets, and restricted classes of RPQs." @default.
- W3136555884 created "2021-03-29" @default.
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- W3136555884 date "2021-01-01" @default.
- W3136555884 modified "2023-09-23" @default.
- W3136555884 title "Fine-Grained Complexity of Regular Path Queries." @default.
- W3136555884 doi "https://doi.org/10.4230/lipics.icdt.2021.19" @default.
- W3136555884 hasPublicationYear "2021" @default.
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