MULTI-LAYER

作品数：336被引量：583H指数：10
导出分析报告
相关领域：自动化与计算机技术更多>>
相关作者：李明白静阳春华关士续王雅琳更多>>
相关机构：清华大学中国农业大学上海交通大学华中科技大学更多>>
相关期刊：更多>>
相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家高技术研究发展计划更多>>
-
在结果中检索

检索结果分析

结果分析中...
选择条件：
  • 主题=NETWORKSx
共 条 记 录，以下是1-4
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
Traffic demand prediction using a social multiplex networks representation on a multimodal and multisource dataset
《International Journal of Transportation Science and Technology》2024年第2期171-185,共15页Panagiotis Fafoutellis Eleni I.Vlahogianni 
In this paper,a meaningful representation of the road network using multiplex networks and a novel feature selection framework that enhances the predictability of future traffic conditions of an entire network are pro...
关键词：Multiplex networks Community detection Multi-layer graphs Traffic prediction Multimodal data 
Design and Implementation of Collaborative Filtering Recommendation Algorithm for Multi-layer Networks
《国际计算机前沿大会会议论文集》2021年第1期32-50,共19页Ling Gou Lin Zhou Yuzhi Xiao 
This work was supported by the National Science Foundation of China(No.61763041)and the Science Found of Qinghai Province(No.2020-GX-112).
With the continuous development of mobile communications and Internet technologies,the marketing model of the communications industry has shifted from calling-based to social APP-based personalized recommendations.In ...
关键词：Two-layer communication network Social network analysis Recommendation algorithm Collaborative filtering algorithm 
Laplacian energy maximizationfor multi-layer air transportation networks被引量：2
《Journal of Southeast University(English Edition)》2017年第3期341-347,共7页Zheng Yue Li Wenquan Qiu Feng Cao Xi 
The National Natural Science Foundation of China(No.61573098,71401072);the Natural Science Foundation of Jiangsu Province(No.BK20130814)
To increase airspace capacity, alleviate flight delay,and improve network robustness, an optimization method of multi-layer air transportation networks is put forward based on Laplacian energy maximization. The effect...
关键词：air TRANSPORTATION network LAPLACIAN ENERGY ROBUSTNESS MULTI-LAYER NETWORKS 
Identifying disease modules and components of viral infections based on multi-layer networks被引量：3
《Science China(Information Sciences)》2016年第7期11-25,共15页Yuanyuan LI Xiufen ZOU 
supported by Major Research Plan of the National Natural Science Foundation of China (Grant Nos. 91530320, 91230118);Research Foundation of Hubei Province Department of Education (Grant No. Q20151505)
With the emergence of multi-dimensional data, we can more comprehensively analyze the pathogenic mechanisms of complex diseases, and thereby improve the diagnosis, treatment and prevention of these diseases. This stud...
关键词：multi-dimensional data multi-layer network complex disease virus infection disease modules 
全选清除导出
共1页<1>
检索报告 对象比较 聚类工具 使用帮助 返回顶部