Isomorphism BY DANIEL HEFNER Definition Applications Medical - - PowerPoint PPT Presentation

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Isomorphism BY DANIEL HEFNER Definition Applications Medical - - PowerPoint PPT Presentation

Subgraph Isomorphism BY DANIEL HEFNER Definition Applications Medical research Disease gene association Biochemical networks Information analysis Information or event extraction Bioinformatics Protein-protein


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SLIDE 1

Subgraph Isomorphism

BY DANIEL HEFNER

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SLIDE 2

Definition

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SLIDE 3

Applications

 Medical research

 Disease gene association  Biochemical networks

 Information analysis

 Information or event extraction

 Bioinformatics

 Protein-protein association

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SLIDE 4

NP Hard

 Consider the maximum clique problem.

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SLIDE 5

Strategy

 Search for a mapping:

 Chose an assignment for each vertex  If at any point a valid assignment cannot be made,

return to the previous vertex and chose a different assignment

 The answer is found when either a valid mapping is

constructed or all valid options are eliminated.

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SLIDE 6

Refined search pattern

 ILF(k) – Node degrees  LAD – Node adjacencies

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SLIDE 7

Sources

  • Kaijar, S., and S. D. Bhavani. Developing Heuristic for Subgraph Isomorphism

Problem, vol. 306 CCIS, 2012, SCOPUS, www.scopus.com .

  • Solnon, Christine. "Alldifferent-Based Filtering for Subgraph Isomorphism." Artificial

Intelligence, vol. 174, no. 12/13, Aug. 2010, pp. 850-864. EBSCOhost.

  • McCreesh, C., P. Prosser, and J. Trimble. Heuristics and really Hard Instances for

Subgraph Isomorphism Problems, vol. 2016-January, 2016, SCOPUS, www.scopus.com.

  • Ullmann, Julian R. “Bit-Vector Algorithms for Binary Constraint Satisfaction and

Subgraph Isomorphism.” Journal of Experimental Algorithmics, vol. 15, Jan. 2010. SCOPUS, www.scopus.com.

  • Thomas, Jaya, et al. "Review on Graph Clustering and Subgraph Similarity Based

Analysis of Neurological Disorders." International Journal of Molecular Sciences,

  • vol. 17, no. 6, June 2016, pp. 1-23. EBSCOhost.
  • Liu, Haibin, et al. "Exploring a Subgraph Matching Approach for Extracting

Biological Events from Literature."