SCCWalk: An efficient local search algorithm and its improvements for maximum weight clique problem-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

SCCWalk: An efficient local search algorithm and its improvements for maximum weight clique problem

Published:2020-03 Issue: Volume:280 Page:103230
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Wang Yiyuan^ORCID,Cai Shaowei^ORCID,Chen Jiejiang,Yin Minghao

Funder

Fundamental Research Funds for the Central Universities

NSFC

Youth Innovation Promotion Association, Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference65 articles.

1. Computer Vision, Englewood Cliffs;Ballard,1982

2. Graph domination, coloring and cliques in telecommunications;Balasundaram,2006

3. Identification of a 5-protein biomarker molecular signature for predicting Alzheimer's disease;Gomez Ravetti;PLoS ONE,2008

4. Clique relaxation models in social network analysis;Pattillo,2012

5. Predicting structural and functional sites in proteins by searching for maximum-weight cliques;Mascia,2010

Cited by 38 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. MSLUnet: A Medical Image Segmentation Network Incorporating Multi-Scale Semantics and Large Kernel Convolution;Applied Sciences;2024-08-02

2. A local search algorithm with movement gap and adaptive configuration checking for the maximum weighted s-plex problem;Engineering Applications of Artificial Intelligence;2024-07

3. HSMVS: heuristic search for minimum vertex separator on massive graphs;PeerJ Computer Science;2024-05-17

4. A frequency and two-hop configuration checking-driven local search algorithm for the minimum weakly connected dominating set problem;Neural Computing and Applications;2024-04-29

5. An exact algorithm to find a maximum weight clique in a weighted undirected graph;Scientific Reports;2024-04-20

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