The subgraph matching problem (subgraph isomorphism) is NP-complete. Previously, we designed
an exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach
(http://esmalgorithm.sourceforge.net). We further designed an approximate subgraph matching (ASM)
algorithm that is capable of detecting approximate subgraph matching based on a subgraph
distance. Assume that the graph G and the subgraph Gs have m and n vertices, and km and kn edges
respectively, the total worst-case algorithm complexity is O(m^n * n(n-1)/2 * km * log m).

This Java implementation implements our ASM algorithm. See README file: https://sourceforge.net/projects/asmalgorithm/files/

If you use our ASM implementation to support academic research, please cite the following paper:

Haibin Liu, Lawrence Hunter, Vlado Keselj, and Karin Verspoor. Approximate Subgraph Matching-based Literature Mining for Biomedical Events and Relations. PLOS ONE, 8:4 e60954, 2013.

Project Activity

See All Activity >

Categories

Algorithms

License

BSD License

Follow Approximate Subgraph Matching Algorithm

Approximate Subgraph Matching Algorithm Web Site

Other Useful Business Software
All Things Performance and Partner Marketing, All in One Place Icon
All Things Performance and Partner Marketing, All in One Place

Track calls, leads, and clicks without the manual work

Automatically tie revenue back to campaigns, channels, publishers, and networks through marketing attribution. Spend less time juggling reports, and more time optimizing for growth by using a single operating solution for partner and performance marketing.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Approximate Subgraph Matching Algorithm!

Additional Project Details

Intended Audience

Science/Research

Programming Language

Java

Related Categories

Java Algorithms

Registered

2013-03-06