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Designing a novel linear-time graph kernel for semantic link network

文献类型：期刊论文

作者Peng, Li1; Zhang, Zhiying1; Huang, Qiaoli1; Huang, Zhixing1; Hai Zhuge1,2,3
刊名CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
出版日期2015-10-01
卷号27期号:15页码:4039-4052
关键词semantic link network latent Dirichlet allocation neighborhood hash graph kernel
ISSN号1532-0626
DOI10.1002/cpe.3541
英文摘要Graph is an efficient tool for representing structured data such as proteins, molecular compounds, and social networks. Graph kernel is a technique to measure the similarity between graphs. However, existing graph kernels still have several limitations: (1) semantics on link is ignored; (2) node is associated with single label; (3) most graph kernels require more than cubic time, which is still computationally expensive; and, (4) there is seldom consideration of handling the graph comparison when the number of node types becomes huge. In this paper, we utilize semantic link network (SLN) to represent complex structured data with richer semantic information. Topic model is employed for dimension reduction and tagging each node with multiple labels. And a novel linear-time graph kernel for SLN is designed to calculate the similarity between two SLNs. This work remedies the limitations of the conventional graph kernels. The effectiveness and efficiency of this approach are evaluated by the document classification task on public corpora. Empirical results demonstrate that the proposed method can achieve better performance than the traditional topicmodel-based classification approach. Copyright (C) 2015 John Wiley & Sons, Ltd.
资助项目Natural Science Foundation Project of CQ CSTC[CSTC2012JJB40012] ; Fundamental Research Funds for the Central Universities[SWU1309265] ; Fundamental Research Funds for the Central Universities[XDJK2014B012]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000363042100015
出版者WILEY-BLACKWELL
源URL[http://119.78.100.204/handle/2XEOYT63/9216]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Huang, Zhixing
作者单位1.Southwest Univ, Sch Comp & Informat Sci, Semant Grid Lab, Chongqing 400715, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
3.Nanjing Univ Posts & Telecommun, Nanjing 210003, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714		 Peng, Li,Zhang, Zhiying,Huang, Qiaoli,et al. Designing a novel linear-time graph kernel for semantic link network[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2015,27(15):4039-4052.
APA Peng, Li,Zhang, Zhiying,Huang, Qiaoli,Huang, Zhixing,&Hai Zhuge.(2015).Designing a novel linear-time graph kernel for semantic link network.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,27(15),4039-4052.
MLA Peng, Li,et al."Designing a novel linear-time graph kernel for semantic link network".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 27.15(2015):4039-4052.

入库方式： OAI收割

来源：计算技术研究所

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