IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

The Node-to-Node Graph Matching Algorithm Schema

The Node-to-Node Graph Matching Algorithm Schema
View Sample PDF
Author(s): Guoxing Zhao (Beijing Normal University, China)and Jixin Ma (University of Greenwich, UK)
Copyright: 2013
Pages: 13
Source title: Graph-Based Methods in Computer Vision: Developments and Applications
Source Author(s)/Editor(s): Xiao Bai (Beihang University, China), Jian Cheng (Chinese Academy of Sciences, China)and Edwin Hancock (University of York, UK)
DOI: 10.4018/978-1-4666-1891-6.ch003

Purchase

View The Node-to-Node Graph Matching Algorithm Schema on the publisher's website for pricing and purchasing information.

Abstract

Many graph matching algorithms follow the approach of node-similarity measurement, that is, matching graphs by means of comparing the corresponding pairs of nodes of the graphs. Based on this idea, the authors propose a high-level schema for node-to-node graph matching, namely N2N graph matching algorithm schema. The chapter shows that such a N2N graph matching algorithm schema is versatile enough to subsume most of the representative node-to-node based graph matching algorithms. It is also shown that improved algorithms can be derived from this N2N graph matching schema, compared with various corresponding algorithms. In addition, the authors point out the limitation and constraints of the propose algorithm schema and suggest some possible treatments.

Related Content

R. N. Ravikumar, S. Aarthi, Valisher Sapayev, Alijon Esanov. © 2026. 32 pages.
Md Mehedi Hasan Emon, Tahsina Khan. © 2026. 34 pages.
Zerin Tasnim, Md Mahdi Hasan Ahid, Md. Adnan Rahman, Mohammad Mofasserul Islam, Md. Nafis Fuad, Abu Bakar Abdul Hamid. © 2026. 34 pages.
P. S. Venkateswaran, S. Jeyakumar, S. Devi Kamatchi, S. Manimaran. © 2026. 36 pages.
Aliza, Abdullah, Muhammad Usman. © 2026. 32 pages.
Rohit Yadav. © 2026. 22 pages.
Salam Al E'mari, Yousef Sanjalawe, Fuad Fataftah. © 2026. 30 pages.
Body Bottom