Distances Between Immersed Graphs: Metric Properties

Author:

Buchin MaikeORCID,Chambers ErinORCID,Fang Pan,Fasy Brittany TereseORCID,Gasparovic EllenORCID,Munch ElizabethORCID,Wenk CarolaORCID

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. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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

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