A survey of graph edit distance

Publication Type:
Journal Article
Citation:
Pattern Analysis and Applications, 2010, 13 (1), pp. 113 - 129
Issue Date:
2010-01-01
Metrics:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011000259OK.pdf541.03 kB
Adobe PDF
Inexact graph matching has been one of the significant research foci in the area of pattern analysis. As an important way to measure the similarity between pairwise graphs error-tolerantly, graph edit distance (GED) is the base of inexact graph matching. The research advance of GED is surveyed in order to provide a review of the existing literatures and offer some insights into the studies of GED. Since graphs may be attributed or non-attributed and the definition of costs for edit operations is various, the existing GED algorithms are categorized according to these two factors and described in detail. After these algorithms are analyzed and their limitations are identified, several promising directions for further research are proposed. © Springer-Verlag London Limited 2009.
Please use this identifier to cite or link to this item: