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Mining Frequent Patterns on Knowledge Graphs

Published: 15 February 2022 Publication History

Abstract

The adoption of knowledge graphs is growing across various domains. And their construction, when automated, can result in verbose sparse graphs. In this talk, we discuss how to mine frequent patterns and subgraphs in a calculation knowledge graph in order to factor out verbose representations and allow for each of maintenance, reduction of storage, and an increase in runtime speed.

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  • (2022)Innovation in Organizations and Management of New Product DevelopmentInternational Journal of Innovation in the Digital Economy10.4018/IJIDE.31151413:1(1-15)Online publication date: 14-Oct-2022

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  1. Mining Frequent Patterns on Knowledge Graphs

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    cover image ACM Conferences
    WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
    February 2022
    1690 pages
    ISBN:9781450391320
    DOI:10.1145/3488560
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 15 February 2022

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    Author Tags

    1. knowledge graphs
    2. labeled graphs
    3. subgraph mining

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    Cited By

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    • (2022)Innovation in Organizations and Management of New Product DevelopmentInternational Journal of Innovation in the Digital Economy10.4018/IJIDE.31151413:1(1-15)Online publication date: 14-Oct-2022

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