Graph mining from a physics perspective: Prediction, identification, and recommendations

GSTDTAP > 地球科学

	Graph mining from a physics perspective: Prediction, identification, and recommendations
	Lu, Linyuan 1,2; Fan, Tianlong 1; Liao, Hao 3; Zhang, Jianlin 1; Zhang, Yi-Cheng 1,2
	2018-04-27
发表期刊	SCIENCE
ISSN	0036-8075
EISSN	1095-9203
出版年	2018
卷号	360 期号:6387 页码:47-48
文章类型	Editorial Material
语种	英语
国家	Peoples R China
领域	地球科学 ; 气候变化 ; 资源环境
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000439072100016
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/198531
专题	地球科学资源环境科学气候变化
作者单位	1.Hangzhou Normal Univ, Alibaba Res Ctr Complex Sci, Hangzhou, Zhejiang, Peoples R China; 2.Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu, Sichuan, Peoples R China; 3.Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen, Peoples R China
推荐引用方式 GB/T 7714	Lu, Linyuan,Fan, Tianlong,Liao, Hao,et al. Graph mining from a physics perspective: Prediction, identification, and recommendations[J]. SCIENCE,2018,360(6387):47-48.
APA	Lu, Linyuan,Fan, Tianlong,Liao, Hao,Zhang, Jianlin,&Zhang, Yi-Cheng.(2018).Graph mining from a physics perspective: Prediction, identification, and recommendations.SCIENCE,360(6387),47-48.
MLA	Lu, Linyuan,et al."Graph mining from a physics perspective: Prediction, identification, and recommendations".SCIENCE 360.6387(2018):47-48.