CSpace

浏览/检索结果: 共22条,第1-10条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Networked Knowledge and Complex Networks: An Engineering View 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 8, 页码: 1366-1383
作者:  Lu, Jinhu;  Wen, Guanghui;  Lu, Ruqian;  Wang, Yong;  Zhang, Songmao
收藏  |  浏览/下载:107/0  |  提交时间:2023/02/07
Complex network  knowledge graph  networked knowledge  neural network  
High attack rate in a Tong Lau house outbreak of COVID-19 with subdivided units in Hong Kong 期刊论文
INTERFACE FOCUS, 2022, 卷号: 12, 期号: 2, 页码: 11
作者:  Wang, Qun;  Lung, David Christopher;  Chan, Pak-To;  Jia, Wei;  Dung, Chung-Hin;  Miao, Te;  Huang, Jianxiang;  Chen, Wenzhao;  Wang, Zixuan;  Leung, Kai-Ming;  Xu, Pengcheng;  Lin, Zhang;  Wong, Daniel;  Tse, Herman;  Wong, Sally Cheuk Ying;  Choi, Garnet Kwan-Yue;  To, Kelvin Kai-Wang;  Cheng, Vincent Chi-Chung;  Yuen, Kwok-Yung;  Li, Yuguo
收藏  |  浏览/下载:141/0  |  提交时间:2022/04/02
COVID-19  SARS-CoV-2  poor housing  drainage system  building ventilation  
Multiple-Tissue and Multilevel Analysis on Differentially Expressed Genes and Differentially Correlated Gene Pairs for HFpEF 期刊论文
FRONTIERS IN GENETICS, 2021, 卷号: 12, 页码: 14
作者:  Zhou, Guofeng;  Sun, Shaoyan;  Yuan, Qiuyue;  Zhang, Run;  Jiang, Ping;  Li, Guangyu;  Wang, Yong;  Li, Xiao
收藏  |  浏览/下载:127/0  |  提交时间:2021/10/26
heart failure with preserved ejection fraction  differentially expressed genes  differentially correlated gene pairs  differential network  molecular docking  
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Liu, Yixin;  Li, Zhao;  Pan, Shirui;  Gong, Chen;  Zhou, Chuan;  Karypis, George
收藏  |  浏览/下载:120/0  |  提交时间:2022/04/02
Anomaly detection  Task analysis  Graph neural networks  Unsupervised learning  Predictive models  Pattern matching  Training  Anomaly detection  attributed networks  contrastive self-supervised learning  graph neural networks (GNNs)  unsupervised learning  
Discovering cooperative biomarkers for heterogeneous complex disease diagnoses 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2019, 卷号: 20, 期号: 1, 页码: 89-101
作者:  Sun, Duanchen;  Ren, Xianwen;  Ari, Eszter;  Korcsmaros, Tamas;  Csermely, Peter;  Wu, Ling-Yun
收藏  |  浏览/下载:285/0  |  提交时间:2019/03/05
heterogeneous diseases  cancer biomarker  network-based  cooperative biomarker  gene expression  
Analysis of Topological Structure in Transiently Chaotic Neural Networks 期刊论文
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2018, 卷号: 34, 期号: 3, 页码: 610-621
作者:  Gao, Yang;  Zheng, Zuo-huan
收藏  |  浏览/下载:196/0  |  提交时间:2018/09/08
transiently chaotic neural networks  Li-Yorke chaos  no division  
Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2018, 卷号: 15, 期号: 3, 页码: 944-953
作者:  Min, Wenwen;  Liu, Juan;  Zhang, Shihua
收藏  |  浏览/下载:248/0  |  提交时间:2018/07/30
Sparse logistic regression  network-regularized penalty  survival risk prediction  feature selection  
Integrative Analysis of Transcription Factor Combinatorial Interactions Using a Bayesian Tensor Factorization Approach 期刊论文
FRONTIERS IN GENETICS, 2017, 卷号: 8, 页码: 12
作者:  Ye, Yusen;  Gao, Lin;  Zhang, Shihua
收藏  |  浏览/下载:146/0  |  提交时间:2018/07/30
transcription regulation  TF regulatory networks  tensor factorization  integrative analysis of omics data  biological networks  
Quantitative function and algorithm for community detection in bipartite networks 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 367, 页码: 874-889
作者:  Li, Zhenping;  Wang, Rui-Sheng;  Zhang, Shihua;  Zhang, Xiang-Sun
收藏  |  浏览/下载:160/0  |  提交时间:2018/07/30
Bipartite network  Community  Quantitative function  Integer programming  Label propagation algorithm  
Local community extraction in directed networks 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 卷号: 452, 页码: 258-265
作者:  Ning, Xuemei;  Liu, Zhaoqi;  Zhang, Shihua
收藏  |  浏览/下载:132/0  |  提交时间:2018/07/30
Complex network  Community structure  Clustering  Optimization