Institute of Computing Technology, Chinese Academy IR
Designing a novel linear-time graph kernel for semantic link network | |
Peng, Li1; Zhang, Zhiying1; Huang, Qiaoli1; Huang, Zhixing1; Hai Zhuge1,2,3 | |
2015-10-01 | |
发表期刊 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE |
ISSN | 1532-0626 |
卷号 | 27期号:15页码:4039-4052 |
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. |
关键词 | semantic link network latent Dirichlet allocation neighborhood hash graph kernel |
DOI | 10.1002/cpe.3541 |
收录类别 | SCI |
语种 | 英语 |
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 |
WOS类目 | Computer Science, Software Engineering ; Computer Science, Theory & Methods |
WOS记录号 | WOS:000363042100015 |
出版者 | WILEY-BLACKWELL |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/9217 |
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. |
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