scholarly journals Large networks of vertical multi-layer graphenes with morphology-tunable magnetoresistance

Nanoscale ◽  
2013 ◽  
Vol 5 (19) ◽  
pp. 9283 ◽  
Author(s):  
Zengji Yue ◽  
Igor Levchenko ◽  
Shailesh Kumar ◽  
Donghan Seo ◽  
Xiaolin Wang ◽  
...  
Keyword(s):  
Large Networks

scholarly journals Bayesian graphical models for modern biological applications

2021 ◽  
Author(s):  
Yang Ni ◽  
Veerabhadran Baladandayuthapani ◽  
Marina Vannucci ◽  
Francesco C. Stingo
Keyword(s):  
Graphical Models ◽  
Cancer Genomics ◽  
Graph Structure ◽  
Biological Processes ◽  
Limited Sample ◽  
Large Networks ◽  
Bayesian Approaches ◽  
Complex Sampling ◽  
Complex Dependence ◽  
Bayesian Graphical Models

AbstractGraphical models are powerful tools that are regularly used to investigate complex dependence structures in high-throughput biomedical datasets. They allow for holistic, systems-level view of the various biological processes, for intuitive and rigorous understanding and interpretations. In the context of large networks, Bayesian approaches are particularly suitable because it encourages sparsity of the graphs, incorporate prior information, and most importantly account for uncertainty in the graph structure. These features are particularly important in applications with limited sample size, including genomics and imaging studies. In this paper, we review several recently developed techniques for the analysis of large networks under non-standard settings, including but not limited to, multiple graphs for data observed from multiple related subgroups, graphical regression approaches used for the analysis of networks that change with covariates, and other complex sampling and structural settings. We also illustrate the practical utility of some of these methods using examples in cancer genomics and neuroimaging.

scholarly journals A review on Queue Management Algorithms in Large Networks

2021 ◽  
Vol 1076 (1) ◽  
pp. 012034
Author(s):  
Mustafa Maad Hamdi ◽  
Hussain Falih Mahdi ◽  
Mohammed Salah Abood ◽  
Ruaa Qahtan Mohammed ◽  
Abdulkareem Dawah Abbas ◽  
...  
Keyword(s):  
Queue Management ◽  
Large Networks ◽  
Management Algorithms

BOOMER: A Tool for Blending Visual P-Homomorphic Queries on Large Networks

2020 ◽  
Author(s):  
Yinglong Song ◽  
Huey Eng Chua ◽  
Sourav S. Bhowmick ◽  
Byron Choi ◽  
Shuigeng Zhou
Keyword(s):  
Large Networks

Dynamic Pricing of Relocating Resources in Large Networks

2019 ◽  
Vol 47 (1) ◽  
pp. 29-30 ◽  
Author(s):  
Santiago R. Balseiro ◽  
David B. Brown ◽  
Chen Chen
Keyword(s):  
Dynamic Pricing ◽  
Large Networks

GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks

2021 ◽  
Vol 33 (1) ◽  
pp. 116-127 ◽  
Author(s):  
Cuneyt Gurcan Akcora ◽  
Yulia R. Gel ◽  
Murat Kantarcioglu ◽  
Vyacheslav Lyubchich ◽  
Bhavani Thuraisingham
Keyword(s):  
Feature Learning ◽  
Large Networks ◽  
Quantifying Uncertainty

scholarly journals Think locally, act locally: Detection of small, medium-sized, and large communities in large networks

2015 ◽  
Vol 91 (1) ◽  
Author(s):  
Lucas G. S. Jeub ◽  
Prakash Balachandran ◽  
Mason A. Porter ◽  
Peter J. Mucha ◽  
Michael W. Mahoney
Keyword(s):  
Large Networks
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