Deep Attributed Network Embedding by Preserving Structure and Attribute Information-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep Attributed Network Embedding by Preserving Structure and Attribute Information

Published:2021-03 Issue:3 Volume:51 Page:1434-1445
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Hong Richang¹^ORCID,He Yuan¹,Wu Le¹^ORCID,Ge Yong²,Wu Xindong³^ORCID

Affiliation:

1. School of Computer and Information, Hefei University of Technology, Hefei, China

2. Department of Management Information Systems, University of Arizona, Tucson, AZ, USA

3. School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Anhui Provincial Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/9355078/08654725.pdf?arnumber=8654725

Cited by 36 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. Metapath and attribute-based academic collaborator recommendation in heterogeneous academic networks;Scientometrics;2024-05-27

2. Protein features fusion using attributed network embedding for predicting protein-protein interaction;BMC Genomics;2024-05-13

3. A novel nonnegative matrix factorization-based model for attributed graph clustering by incorporating complementary information;Expert Systems with Applications;2024-05

4. Evolutionary multi-objective overlapping community detection based on fusion of internal and external connectivity and correction of node intimacy;Applied Soft Computing;2024-03

5. Collaborative Graph Neural Networks for Attributed Network Embedding;IEEE Transactions on Knowledge and Data Engineering;2024-03

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