Exact GED: Difference between revisions

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(Created page with "{{DISPLAYTITLE:Exact GED (Graph Edit Distance Computation)}} == 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. Exact GED computes the GED exactly. == Related Problems == Related: Inexact GED == Parameters == <pre>V: number of vertices in the larger of the two grap...")
 
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== Parameters ==  
== Parameters ==  


<pre>V: number of vertices in the larger of the two graphs</pre>
$V$: number of vertices in the larger of the two graphs


== Table of Algorithms ==  
== Table of Algorithms ==  
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| [[Alberto Sanfeliu and King-Sun Fu ( Graph Edit Distance Computation)|Alberto Sanfeliu and King-Sun Fu]] || 1983 || $O(V^{3} E^{2})$ ||  || Exact || Deterministic || [https://doi.org/10.1109/TSMC.1983.6313167 Time]
| [[Alberto Sanfeliu and King-Sun Fu ( Graph Edit Distance Computation)|Alberto Sanfeliu and King-Sun Fu]] || 1983 || $O(V^{3} E^{2})$ ||  || Exact || Deterministic || [https://doi.org/10.1109/TSMC.1983.6313167 Time]
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| [[Wang Y-K; Fan K-C; Horng J-T ( Graph Edit Distance Computation)|Wang Y-K; Fan K-C; Horng J-T]] || 1997 || $O(V E^{2} loglogE)$ ||  || Exact || Deterministic || [https://doi.org/10.1109/3477.604100 Time]
| [[Wang Y-K; Fan K-C; Horng J-T ( Graph Edit Distance Computation)|Wang Y-K; Fan K-C; Horng J-T]] || 1997 || $O(V E^{2} \log \log E)$ ||  || Exact || Deterministic || [https://doi.org/10.1109/3477.604100 Time]
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| [[Tao D; Tang X; Li X et al ( Graph Edit Distance Computation)|Tao D; Tang X; Li X et al]] || 2006 || $O(V^{2})$ ||  || Exact || Deterministic || [https://eprints.bbk.ac.uk/id/eprint/443/1/Binder1.pdf Time]
| [[Tao D; Tang X; Li X et al ( Graph Edit Distance Computation)|Tao D; Tang X; Li X et al]] || 2006 || $O(V^{2})$ ||  || Exact || Deterministic || [https://eprints.bbk.ac.uk/id/eprint/443/1/Binder1.pdf Time]
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== Time Complexity graph ==  
== Time Complexity Graph ==  


[[File:Graph Edit Distance Computation - Exact GED - Time.png|1000px]]
[[File:Graph Edit Distance Computation - Exact GED - Time.png|1000px]]
== Space Complexity graph ==
[[File:Graph Edit Distance Computation - Exact GED - Space.png|1000px]]
== Pareto Decades graph ==
[[File:Graph Edit Distance Computation - Exact 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. Exact GED computes the GED exactly.

Related Problems

Related: Inexact GED

Parameters

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

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
X Chen 2019 $O(VS)$ $O(wV^{2})$ Exact Deterministic Time & Space
Alberto Sanfeliu and King-Sun Fu 1983 $O(V^{3} E^{2})$ 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

Time Complexity Graph

Graph Edit Distance Computation - Exact GED - Time.png