南方科技大学知识苑(SUSTech KC): Learning Distilled Graph for Large-Scale Social Network Data Clustering

题名	Learning Distilled Graph for Large-Scale Social Network Data Clustering
作者	Liu，Wenhe 1; Gong，Dong 2; Tan，Mingkui 3; Shi，Javen Qinfeng 2; Yang，Yi1 ; Hauptmann，Alexander G.4
通讯作者	Tan，Mingkui
发表日期	2020-07-01
DOI	10.1109/TKDE.2019.2904068
发表期刊	IEEE Transactions on Knowledge and Data Engineering 影响因子和分区
ISSN	2326-3865
卷号	32 期号:7页码:1393-1404
关键词	Feature evaluation and selection clustering spectral analysis social network
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	第一
EI入藏号	20191206654059
EI主题词	Data mining ; Social networking (online) ; Clustering algorithms ; Graphic methods ; Distillation ; Feature Selection
EI分类号	Computer Software, Data Handling and Applications:723 ; Data Processing and Image Processing:723.2 ; Chemical Operations:802.3 ; Information Sources and Analysis:903.1
ESI学科分类	ENGINEERING
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8663296
引用统计	被引频次[WOS]：2
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/140020
专题	南方科技大学
作者单位	1.UTS-SUSTech Joint Centre of Computational Intelligence Systems,Southern University of Science and Technology,Shenzhen,518055,China 2.School of Computer Science,University of Adelaide,Adelaide,5005,Australia 3.School of Software Engineering,South China University of Technology,Guangzhou,510630,China 4.School of Computer Science,Carnegie Mellon University,Pittsburgh,15213,United States
第一作者单位	南方科技大学
第一作者的第一单位	南方科技大学
推荐引用方式 GB/T 7714	Liu，Wenhe,Gong，Dong,Tan，Mingkui,et al. Learning Distilled Graph for Large-Scale Social Network Data Clustering[J]. IEEE Transactions on Knowledge and Data Engineering,2020,32(7):1393-1404.
APA	Liu，Wenhe,Gong，Dong,Tan，Mingkui,Shi，Javen Qinfeng,Yang，Yi,&Hauptmann，Alexander G..(2020).Learning Distilled Graph for Large-Scale Social Network Data Clustering.IEEE Transactions on Knowledge and Data Engineering,32(7),1393-1404.
MLA	Liu，Wenhe,et al."Learning Distilled Graph for Large-Scale Social Network Data Clustering".IEEE Transactions on Knowledge and Data Engineering 32.7(2020):1393-1404.