Abstract
AbstractGraphs in metric spaces appear in a wide range of data sets, and there is a large body of work focused on comparing, matching, or analyzing collections of graphs in different ambient spaces. In this survey, we provide an overview of a diverse collection of distance measures that can be defined on the set of finite graphs immersed (and in some cases, embedded) in a metric space. For each of the distance measures, we recall their definitions and investigate which of the properties of a metric they satisfy. Furthermore we compare the distance measures based on these properties and discuss their computational complexity.
Funder
National Science Foundation
Directorate for Computer and Information Science and Engineering
Publisher
Springer Science and Business Media LLC
Cited by
2 articles.
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1. Graph Sampling for Map Comparison;ACM Transactions on Spatial Algorithms and Systems;2024-08-21
2. Graph Sampling for Map Comparison;Spatial Gems, Volume 2;2023-12-22