Inexact GED: Difference between revisions

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[[File:Graph Edit Distance Computation - Inexact GED - Time.png|1000px]]
[[File:Graph Edit Distance Computation - Inexact GED - Time.png|1000px]]
== Space Complexity Graph ==
[[File:Graph Edit Distance Computation - Inexact GED - Space.png|1000px]]
== Time-Space Tradeoff ==
[[File:Graph Edit Distance Computation - Inexact GED - Pareto Frontier.png|1000px]]

Latest revision as of 10:09, 28 April 2023

Description

The GED of two graphs is defined as the minimum cost of an edit path between them, where an edit path is a sequence of edit operations (inserting, deleting, and relabeling vertices or edges) that transforms one graph into another. Inexact GED computes an answer that is not gauranteed to be the exact GED.

Related Problems

Related: Exact GED

Parameters

$V$: number of vertices in the larger of the two graphs

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
Y Bai 2018 $O(V^{2})$ $O(V^{2})$ none stated Deterministic Time
L Chang 2017 $O(V E^{2} logV)$ $O(V)$ Exact Deterministic Time & Space
K Riesen 2013 $O(V^{2})$ $O(V)$ Exact Deterministic Time
Alberto Sanfeliu and King-Sun Fu 1983 $O(V^{3} E^{2})$ Exact Deterministic Time
Neuhaus, Riesen, Bunke 2006 $O(V^{2})$ $O(wV)$ Exact Deterministic Time
Wang Y-K; Fan K-C; Horng J-T 1997 $O(V E^{2} \log \log E)$ Exact Deterministic Time
Tao D; Tang X; Li X et al 2006 $O(V^{2})$ Exact Deterministic Time
Finch 1998 $O(V^{2} E)$ $O(V^{2})$? Exact Deterministic Time

Time Complexity Graph

Graph Edit Distance Computation - Inexact GED - Time.png