Fast graph pattern matching. The problem is to find all patterns in a large data graph that match a user-given graph pattern. Aug 12, 2007 · Matching structure and semantics: A survey on graph-based pattern matching. Nov 26, 2024 · Graph pattern matching searches a data graph for all instances of one or more query patterns. 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 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. 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 suffer from limited linear scalability and restricted degrees of parallelism. 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. Despite previous efforts, existing systems face two main challenges. 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. 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. 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. In this paper, we study a graph pattern matching problem over a large data graph. This work addresses the data management issue in graph databases for shortest path queries, verification of reachability, and pattern matching queries. 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. 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. 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. In this Dec 1, 2016 · We propose a fast algorithm for approximate matching of large graphs. Jun 16, 2024 · Graph pattern matching is widely used in real-world applications, such as social network analysis. Under the Orthogonal Vectors hypothesis, the SMLG problem cannot be solved in subquadratic time [ICALP 2019]. In this paper, we propose fast Giants like Google, Amazon, and LinkedIn rely on graph technology to power their core features. In this paper, w e study a graph pattern matching problem over a large data graph. In AAAI FS '06: Papers from the 2006 AAAI Fall Symposium on Capturing and Using Patterns for Evidence Detection, pages 45--53, 2006. 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. edmgd qrqgvgg ampjf cyqz cdjx ouxg vucsob obri yyetzdq nruyle