Presentation 1998/1/22
Parallel Organization Algorithm for Graph Matching and Subgraph Isomorphism Detection
Keita Maehara, Kuniaki Uehara,
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Abstract(in English) Graph representation of data is very flexible and used in various applications. Detecting interesting substructures and searching a given graph from a set of graphs is a very important problem. But the computational cost of graph-based operation such as graph matching is intractable, especially if their size is very large. In this pdper, we will propose a parallel graph organization algorithm based on MDL (Minimum Description Length) criterion. Graphs are organized into a hierarchical network according to their common substructures and thus matching cost can be reduced by using this hierarchical network.
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Keyword(in English) Graph Matching / MDL Criterion / Parallel Processing / Organization Algorithm
Paper # AI97-60
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Conference Information
Committee AI
Conference Date 1998/1/22(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Parallel Organization Algorithm for Graph Matching and Subgraph Isomorphism Detection
Sub Title (in English)
Keyword(1) Graph Matching
Keyword(2) MDL Criterion
Keyword(3) Parallel Processing
Keyword(4) Organization Algorithm
1st Author's Name Keita Maehara
1st Author's Affiliation Department of Computer and Systems Engineering, Faculty of Engineering, Kobe University()
2nd Author's Name Kuniaki Uehara
2nd Author's Affiliation Research Center for Urban Safety and Security, Kobe Unversity
Date 1998/1/22
Paper # AI97-60
Volume (vol) vol.97
Number (no) 498
Page pp.pp.-
#Pages 8
Date of Issue