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A survey of typical attributed graph queries

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journal contribution
posted on 30.03.2021, 12:48 by Yanhao WANG, Yuchen LI, Ju FAN, Chang YE, Mingke CHAI

Graphs are commonly used for representing complex structures such as social relationships, biological interactions, and knowledge bases. In many scenarios, graphs not only represent topological relationships but also store the attributes that denote the semantics associated with their vertices and edges, known as attributed graphs. Attributed graphs can meet demands for a wide range of applications, and thus a variety of queries on attributed graphs have been proposed. However, these diverse types of attributed graph queries have not been systematically investigated yet. In this paper, we provide an extensive survey of several typical types of attributed graph queries. We propose a taxonomy of attributed graph queries based on query inputs and outputs. We summarize the definitions of queries that fall into each category and present a fine-grained classification of queries within each category by analyzing the semantics and algorithmic motivations behind these queries. Moreover, we discuss the insights of how existing studies address the technical challenges of query processing and outline several promising future research directions.

History

Publication Date

20/11/2020

Journal

World Wide Web

Volume

24

Pages

297–346

ISSN

1386-145X

School

School of Computing and Information Systems

IRIS ID

132256524

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