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A research on network similarity search algorithm for biological networks

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成果类型:
期刊论文、会议论文
作者:
SHEN Cong;DAI Xiao-peng;LI Dong-hui
作者机构:
[Cong S.; Xiao-Peng D.; Dong-Hui L.] School of Information Science and Technology, Hunan Agricultural University, Changsha, 410128, China
语种:
英文
关键词:
Intelligent materials;Learning algorithms;Manufacture;Query processing;Biological networks;Exponential growth;Network data;Network database;Query time;Similarity search;Subgraphs;Bioinformatics
期刊:
MATEC Web of Conferences
ISSN:
2261-236X
年:
2018
卷:
173
期:
6887
页码:
03025
会议名称:
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation, SMIMA 2018
会议时间:
24 May 2018 through 26 May 2018
出版者:
EDP Sciences
基金类别:
The work described in this paper was partially supported by national key research and development project (Project No: SQ2017YFNC050022-06),Hunan education department scientific research project(Project No: 17K044 ; 17A092).
机构署名:
本校为第一机构
院系归属:
信息科学技术学院
摘要:
The biological network database presents exponential growth, how to find the target network accurately from the network database becomes the difficult problem. This paper proposes a new network similarity search algorithm, the similar network of Top k is calculated by two methods, the similar networks returned by the two algorithms are then filtered by overlap fractions, the weighted reordering algorithm is used to reorder the two sets of data, a precise set of similar network data sets is returned finally.In this paper, the accuracy of the que...

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