Inexact Graph Matching Using Centrality Measures
Social and Information Networks
2022-01-13 v1 Data Structures and Algorithms
Abstract
Graph matching is the process of computing the similarity between two graphs. Depending on the requirement, it can be exact or inexact. Exact graph matching requires a strict correspondence between nodes of two graphs, whereas inexact matching allows some flexibility or tolerance during the graph matching. In this chapter, we describe an approximate inexact graph matching by reducing the size of the graphs using different centrality measures. Experimental evaluation shows that it can reduce running time for inexact graph matching.
Keywords
Cite
@article{arxiv.2201.04563,
title = {Inexact Graph Matching Using Centrality Measures},
author = {Shri Prakash Dwivedi},
journal= {arXiv preprint arXiv:2201.04563},
year = {2022}
}
Comments
12 pages, 8 figures