Fast Similarity Search for Graphs by Edit Distance

被引：0
|
作者：
Rachkovskij, D. A. [1 ]
机构：
[1] NAS Ukraine, Int Res & Training Ctr Informat Technol & Syst, Kiev, Ukraine
来源：
CYBERNETICS AND SYSTEMS ANALYSIS | 2019年 / 55卷 / 06期
关键词：
similarity search; graph; edit distance; nearest neighbor; index structure; inverted indexing; LINEAR-PROGRAMMING FORMULATION; INDEX STRUCTURES; BINARY VECTORS; ASSIGNMENT; COMPUTATION; EMBEDDINGS; ALGORITHM; ROBUST; JOINS;
D O I：
10.1007/s10559-019-00213-9
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This survey article considers index structures for fast similarity search for objects represented by trees and graphs. Edit distance is used as a measure of similarity. The execution of exact similarity search queries is considered. Algorithms based on the filter-and-refine strategy using inverted indexing are mainly presented. Algorithms for exact calculation of the graph edit distance and its lower and upper bounds are also considered.
引用
收藏
页码：1039 / 1051
页数：13
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