Fifty years of graph matching, network alignment and network comparison

Frank Emmert-Streib, Matthias Dehmer, Yongtang Shi

    Research output: Contribution to journalArticleScientificpeer-review

    180 Citations (Scopus)

    Abstract

    In this paper we survey methods for performing a comparative graph analysis and explain the history, foundations and differences of such techniques of the last 50 years. While surveying these methods, we introduce a novel classification scheme by distinguishing between methods for deterministic and random graphs. We believe that this scheme is useful for a better understanding of the methods, their challenges and, finally, for applying the methods efficiently in an interdisciplinary setting of data science to solve a particular problem involving comparative network analysis.

    Original languageEnglish
    Pages (from-to)180-197
    Number of pages18
    JournalInformation Sciences
    Volume346-347
    DOIs
    Publication statusPublished - 10 Jun 2016
    Publication typeA1 Journal article-refereed

    Keywords

    • Biological networks
    • Computational graph theory
    • Graph matching
    • Network comparison
    • Network similarity
    • Quantitative graph theory

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Software
    • Control and Systems Engineering
    • Theoretical Computer Science
    • Computer Science Applications
    • Information Systems and Management

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