Inexact GED (Graph Edit Distance Computation)
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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 | $O(V E^{2} loglogE)$ | 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
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Space Complexity Graph
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Pareto Frontier Improvements Graph
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