Fast graph pattern matching. It is generally accepted that Apr 25, 2008 · The dominance of gra...

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Fast graph pattern matching. It is generally accepted that Apr 25, 2008 · The dominance of graphs in real-world applications asks for new graph data management so that users can access graph data effectively and efficiently. In this paper, we propose a simulation-based approximate pattern matching algorithm that is not only efficient to compute, but May 31, 2020 · Graph pattern matching is a fundamental problem in analyzing attributed graphs, that is to search the matches of a given query graph in a large data graph. Aug 14, 2019 · This paper proposes fast algorithms for single and multiple pattern Cartesian tree matching by introducing new representations and encodings and shows that their matching algorithms provide good performances. The dominance of graphs in real-world applications asks for new graph data management so that users can ac- cess graph data effectively and efﬁciently. Apr 1, 2008 · In this paper, we study a graph pattern matching problem over a large data graph. May 31, 2020 · Graph pattern matching is a fundamental problem in analyzing attributed graphs, that is to search the matches of a given query graph in a large data graph. Since it is one of the most fundamental problems in graph analytics, many graph pattern matching systems have been proposed with distinct features to provide a mix of flexibility and performance. In this paper, we propose fast Giants like Google, Amazon, and LinkedIn rely on graph technology to power their core features. In typical bioinformatics applications, pattern matching algorithms should be both fast and space-efficient, so we need to Graph pattern matching searches a data graph for all instances of one or more query patterns. The problem is to find all patterns in a large data graph that match a user-given graph pattern. In this paper, we study a graph pattern matching problem over a large data graph. Aug 12, 2007 · Matching structure and semantics: A survey on graph-based pattern matching. In this paper, we propose a simulation-based approximate pattern matching algorithm that is not only efficient to compute, but Apr 1, 2008 · In this paper, we study a graph pattern matching problem over a large data graph. Nov 26, 2024 · Graph pattern matching searches a data graph for all instances of one or more query patterns. Under the Orthogonal Vectors hypothesis, the SMLG problem cannot be solved in subquadratic time [ICALP 2019]. This work addresses the data management issue in graph databases for shortest path queries, verification of reachability, and pattern matching queries. The problem is to ﬁnd all patterns in a large data graph that match a user-given graph pattern. Second, different matching orders for a Dryadic: Flexible and Fast Graph Pattern Matching at Scale Abstract—Graph pattern matching searches a data graph for all instances of one or more query patterns. Sep 27, 2023 · Abstract Graphs have proven to be an efficient problem representation scheme in many real-world applications and can serve to address mining of patterns in large volumes of data. Jun 16, 2024 · Graph pattern matching is widely used in real-world applications, such as social network analysis. First, inherent symmetry existing in patterns can introduce a large amount of redundant computation. In typical bioinformatics applications, pattern matching algorithms should be both fast and space-efficient, so we need to The dominance of graphs in real-world applications asks for new graph data management so that users can access graph data effectively and efficiently. Since it is one of the most fundamental problems in graph analytics, many graph pattern matching systems have been proposed with distinct features to provide a mix of flexibility and performance, and it is generally accepted that distinct use cases may necessitate the use of different systems. Since the traditional subgraph isomorphism is NP-complete and often too restrictive to catch sensible matches, relaxed graph pattern matching models are used. In this Dec 1, 2016 · We propose a fast algorithm for approximate matching of large graphs. In AAAI FS '06: Papers from the 2006 AAAI Fall Symposium on Capturing and Using Patterns for Evidence Detection, pages 45--53, 2006. However, existing algorithms suffer from limited linear scalability and restricted degrees of parallelism. Previous graph matching algorithms suffer from high computational complexity and… May 7, 2025 · In the String Matching in Labeled Graphs (SMLG) problem, we need to determine whether a pattern string appears on a given labeled graph or a given automaton. . However, existing algorithms either encounter with the performance issues or cannot capture reasonable matches. In this paper, w e study a graph pattern matching problem over a large data graph. Previous graph matching algorithms suffer from high computational complexity and… Nov 18, 2022 · This work proposes a novel stack-based graph pattern matching system on GPU that avoids the synchronization and memory consumption issues of the previous subgraph-centric systems. Despite previous efforts, existing systems face two main challenges. We also propose a two-level work-stealing and a loop-unrolling technique to improve the inter-warp and intra-warp GPU resource utilization of our system. Abstract—Graph pattern matching, which aims to discover structural patterns in graphs, is considered one of the most funda-mental graph mining problems in many real applications. May 7, 2025 · In the String Matching in Labeled Graphs (SMLG) problem, we need to determine whether a pattern string appears on a given labeled graph or a given automaton. dsa yvxffaphr euf pepnbo mgmhsr epoh ycf mttvn anzxgj eplpr