PPI network comparison-oriented graph matching constraint solving symbol method

A PPI network and constraint solving technology, applied in the field of graph data and symbols, can solve problems such as combination complexity constraints, achieve the effect of reducing state space complexity and improving solution efficiency

Active Publication Date: 2018-02-16
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0005] The present invention aims at the problem of being restricted by the combination complexity in the process of combining the graph matchin

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  • PPI network comparison-oriented graph matching constraint solving symbol method
  • PPI network comparison-oriented graph matching constraint solving symbol method
  • PPI network comparison-oriented graph matching constraint solving symbol method

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[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific examples and with reference to the accompanying drawings.

[0043] The constraint satisfaction problem is a general solution paradigm for a large number of complex problems in the fields of artificial intelligence and computer science, with the goal of finding one or more assignments of variables that satisfy all constraints. So far, the research on the CSP algorithm has been extensive and in-depth, and there are many mature and effective algorithms. However, since the constraint satisfaction problem is usually NP-hard, it will inevitably be constrained by the combination complexity in the solution process. For Therefore, we introduce symbolic techniques.

[0044] Ordered Binary Decision Diagram (OBDD) and its extended form can realize the implicit representation and search of state ...

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Abstract

The invention discloses a PPI network comparison-oriented graph matching constraint solving symbol method. According to the method, a CSP model is established (a constraint condition with a shortest path is established) by utilizing a constraint relationship in a graph structure; by adoption of a graph-based backtracking algorithm, an OBDD symbol technology and each included symbol operation, theaim of solving subgraph isomorphism problems is achieved; and finally, the technology is imported in to a PPI network comparison problem, the problem is solved and a PPI network comparison-oriented graph matching constraint solving symbol technology is given. According to the method, the graph-based backtracking algorithm which is used for solving constraint satisfaction problems is combined, theOBDD symbol technology is adopted, advantages of an operation method are developed, and a graph matching symbol algorithm is applied to the protein mutual action network comparison problems in the field of biological information according to a constraint symbol solving technology which is used for solving sub-graph isomorphism, so that the problem solving efficiency can be improved to a certain extent and the state space complexity is reduced.

Description

technical field [0001] The invention relates to the technical field of graph data and symbols, in particular to a symbolic method for solving graph matching constraints oriented to PPI network comparison. Background technique [0002] With the advent of the era of big data, massive multi-source heterogeneous data from the Internet and life are being generated and accumulated at an unprecedented speed. There is a close correlation between these data. How to effectively analyze and mine them is The serious challenges and important opportunities facing academia today. As the basic structure representing the relationship between data, graphs are widely used in many fields. Many problems in life can be transformed into graph-based problems and solved using related theories and algorithms on graphs. Among them, graph pattern matching technology is an important means to realize efficient query on graph data, and has important application value in protein network, social network an...

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Application Information

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IPC IPC(8): G06F17/30G06F19/18G06F19/24G06F19/28
CPCG06F16/9024G06F16/90335G16B20/00G16B40/00G16B50/00
Inventor 徐周波刘桂珍张鵾宁黎华
Owner GUILIN UNIV OF ELECTRONIC TECH
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