Presentation | 1998/1/22 Parallel Organization Algorithm for Graph Matching and Subgraph Isomorphism Detection Keita Maehara, Kuniaki Uehara, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Graph Matching / MDL Criterion / Parallel Processing / Organization Algorithm |
Paper # | AI97-60 |
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Committee | AI |
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Conference Date | 1998/1/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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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 |
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