Articles producció científicaEnginyeria Informàtica i Matemàtiques

Graph edit distance: Restrictions to be a metric

  • Datos identificativos

    Identificador:  imarina:5633489
    Autores:  Fernandez, Alberto
    Resumen:
    © 2019 Elsevier Ltd In the presentation of the graph edit distance in 1983 and other newer bibliography, authors state that it is necessary to apply the distance restrictions (non-negativity, identity of indiscernible elements, symmetry and triangle inequality) to each of the edit functions (insertion, deletion and substitution of nodes and edges) involved in the process of computing the graph edit distance to make the graph edit distance a true distance. Moreover, graph edit distance algorithms presented in the last three decades have been based on mapping the edit path that transforms a graph into the other one into a bijection of the graphs in which some null nodes have been added. In this paper, we show that the triangle inequality does not need to be imposed in each edit function if the graph edit distance is defined through an edit path; however, it is necessary if it is defined as a graph bijection. This is an important finding since the triangle inequality is the only restriction that relates different edit functions and concerns the process of tuning the edit functions given a specific application. Hence, on one hand, it would encourage research to define new algorithms based on the edit path instead of the graph bijection and, on the other hand, use edit functions without the restriction, for instance, that the sum of the costs of insertion and deletion of a pair of nodes has to be larger or equal than the cost of substituting them, which could increase the recognition ratio of a concrete application.
  • Otros:

    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S0031320319300639
    Referencia de l'ítem segons les normes APA: Fernandez, Alberto (2019). Graph edit distance: Restrictions to be a metric. Pattern Recognition, 90(), 250-256. DOI: 10.1016/j.patcog.2019.01.043
    Referencia al articulo segun fuente origial: Pattern Recognition. 90 250-256
    DOI del artículo: 10.1016/j.patcog.2019.01.043
    Año de publicación de la revista: 2019
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/submittedVersion
    Fecha de alta del registro: 2025-03-22
    Autor/es de la URV: Serratosa Casanelles, Francesc d'Assís
    Departamento: Enginyeria Informàtica i Matemàtiques
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    ISSN: 00313203
    Autor según el artículo: Fernandez, Alberto
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Software, Signal processing, Medicina ii, Matemática / probabilidade e estatística, Interdisciplinar, Geociências, Engineering, electrical & electronic, Engenharias iv, Engenharias iii, Computer vision and pattern recognition, Computer science, artificial intelligence, Ciências biológicas iii, Ciências biológicas i, Ciência da computação, Biodiversidade, Astronomia / física, Artificial intelligence
    Direcció de correo del autor: francesc.serratosa@urv.cat
  • Palabras clave:

    Sub-optimality
    Sets
    Repository
    Optimality
    Graph edit distance
    Distance definition
    Database
    Costs
    Computation
    Artificial Intelligence
    Computer Science
    Computer Vision and Pattern Recognition
    Engineering
    Electrical & Electronic
    Signal Processing
    Software
    Medicina ii
    Matemática / probabilidade e estatística
    Interdisciplinar
    Geociências
    Engenharias iv
    Engenharias iii
    Ciências biológicas iii
    Ciências biológicas i
    Ciência da computação
    Biodiversidade
    Astronomia / física
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