Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/43664
Title: Compact Path Representations for Graph Database Pattern Matching
Authors: MARTENS, Wim 
Niewerth, Matthias
Popp, Tina
Rojas, Carlos
VANSUMMEREN, Stijn 
Vrgoc, Domagoj
Issue Date: 2024
Publisher: IEEE COMPUTER SOC
Source: 2024 IEEE 40TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOP, ICDEW, IEEE COMPUTER SOC, p. 379 -380
Series/Report: IEEE International Conference on Data Engineering Workshop
Abstract: Modern graph database query languages such as GQL, SQL/PGQ, and Cypher allow regular path queries to return entire paths, as opposed to only their endpoints. This is challenging for query evaluation, since a graph can have an exponential number of paths between a given node pair. This means that intermediate query evaluation results can be huge. We recently introduced the concept of path multiset representations (PMRs) [1], which can represent multisets of paths exponentially succinctly and therefore bring significant advantages for representing intermediate results. As shown in our experiments, they can speed up regular path query evaluation with several orders of magnitude.
Notes: Martens, W (corresponding author), Univ Bayreuth, Bayreuth, Germany.
Keywords: Index Terms-graph databases;graph databases;queries;queries;paths;paths
Document URI: http://hdl.handle.net/1942/43664
ISBN: 979-8-3503-8404-8; 979-8-3503-8403-1
DOI: 10.1109/ICDEW61823.2024.00059
ISI #: 001259407300052
Rights: 2024 IEEE
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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