Multi-graph-view subgraph mining for graph classification-Reference-Cited by-同舟云学术

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Multi-graph-view subgraph mining for graph classification

Published:2015-09-21 Issue:1 Volume:48 Page:29-54
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Wu Jia,Hong Zhibin,Pan Shirui,Zhu Xingquan,Cai Zhihua,Zhang Chengqi

Funder

Key Project of the Natural Science Foundation of Hubei Province, China

National Scholarship for Building High Level Universities, China Scholarship Council

National Natural Science Foundation of China (CN)

Chinese National “111” Project hosted by SA Centre for Big Data Research in Renmin University of China

Australian Research Council Discovery Project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-015-0872-1.pdf

Reference41 articles.

1. Aggarwal CC (2011) On classification of graph streams. In: Proceedings of the SIAM international conference on data mining, SDM, pp 652–663

2. Aggarwal CC, Ta N, Wang J, Feng J, Zaki M (2007) Xproj: a framework for projected structural clustering of xml documents. In: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining, KDD, pp 46–55

3. Blum A, Mitchell T (1998) Combining labeled and unlabeled data with co-training. In: Proceedings of the 11th annual conference on computational learning theory, COLT, pp 92–100

4. Borgelt C, Berthold M (2002) Mining molecular fragments: finding relevant substructures of molecules. In: Proceedings of the IEEE international conference on data mining, ICDM, pp 51–58

5. Cheng H, Lo D, Zhou Y, Wang X, Yan X (2009) Identifying bug signatures using discriminative graph mining. In: Proceedings of the 18th international symposium on software testing and analysis, ISSTA, pp 141–152

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