On extending extreme learning machine to non-redundant synergy pattern based graph classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

On extending extreme learning machine to non-redundant synergy pattern based graph classification

Published:2015-02 Issue: Volume:149 Page:330-339
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Zhanghui,Zhao Yuhai,Wang Guoren,Li Yuan,Wang Xue^ORCID

Funder

863 program

National Science Fund for Distinguished Young Scholars

National Science Fund of China Key Program

National Natural Science Foundation of China

New Century Excellent Talents

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference28 articles.

1. J. Huan, W. Wang, D. Bandyopadhyay, J. Snoeyink, J. Prins, A. Tropsha, Mining protein family specific residue packing patterns from protein structure graphs, in: Proceedings of the Eighth Annual International Conference on Research in Computational Molecular Biology, ACM, New York, USA, 2004, pp. 308–315.

2. Conserved patterns of protein interaction in multiple species;Sharan;Proc. Natl. Acad. Sci. USA,2005

3. C. Borgelt, M.R. Berthold, Mining molecular fragments: Finding relevant substructures of molecules, in: Proceedings of 2002 IEEE International Conference on Data Mining, 2002. ICDM 2003, IEEE, Maebashi, Japan, 2002, pp. 51–58.

4. Frequent substructure-based approaches for classifying chemical compounds;Deshpande;IEEE Trans. Knowl. Data Eng.,2005

5. C. Bilgin, C. Demir, C. Nagi, B. Yener, Cell-graph mining for breast tissue modeling and classification, in: The 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. EMBS 2007, IEEE, New Jersey, USA, 2007, pp. 5311–5314.

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Discriminative pattern discovery for the characterization of different network populations;Bioinformatics;2023-04-01

2. NetKI: A kirchhoff index based statistical graph embedding in nearly linear time;Neurocomputing;2021-04

3. ELM-Based Large-Scale Genetic Association Study via Statistically Significant Pattern;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2019-10

4. Mining concise patterns on graph-connected itemsets;Neurocomputing;2019-04

5. Big graph classification frameworks based on Extreme Learning Machine;Neurocomputing;2019-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3