You are in:Home/Publications/Scaling Subgraph Matching by Improving Ullmann Algorithm. | |
Dr. Mosab abd el-hameed mohamed hassaan :: Publications: |
Title: | Scaling Subgraph Matching by Improving Ullmann Algorithm. |
Authors: | Karam Gouda; Gyöngyi Bujdosó; Mosab Hassaan |
Year: | 2022 |
Keywords: | Subgraph matching; NP-complete; graph database |
Journal: | The journal of Computing and Informatics |
Volume: | 41 |
Issue: | 4 |
Pages: | 1002-1024 |
Publisher: | Slovak Academy of Sciences |
Local/International: | International |
Paper Link: | |
Full paper | Mosab abd el-hameed mohamed hassaan_6-paper-11-2022.pdf |
Supplementary materials | Not Available |
Abstract: |
Graphs are vastly used to represent many complex data semantics in several domains. Subgraph isomorphism checking (an NP-complete problem) is a regular operation with this kind of data. In this paper, we propose an improvement of Ullmann algorithm, a well-known subgraph isomorphism checker. Our new algorithm is called Ullmann-ON^L. It utilizes a novel sorting method for query vertices and L-levels of vertex neighborhoods (N^L) to confine the search space of Ullmann algorithm. Our performance study shows that Ullmann-ONL outperforms previously proposed algorithms with a wide margin. |