Results 11 to 20 of about 11,891,122 (316)
Deciphering the physiological response of Escherichia coli under high ATP demand
Molecular Systems Biology, 2021 One long‐standing question in microbiology is how microbes buffer perturbations in energy metabolism. In this study, we systematically analyzed the impact of different levels of ATP demand in Escherichia coli under various conditions (aerobic and ...
Simon Boecker +6 more
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Visualizing the Evolution of Historical Networks Using Small Multiples in Grid Charts
Journal of Historical Network Research, 2022 Historical time presents interesting conceptual problems for network visualization. The manifestations of time in historical network research (HNR) are similarly numerous and distinct. Time in HNR cannot always be reduced to the concept of chronological
Melanie Conroy +3 more
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Explaining conflict violence in terms of conflict actor dynamics
Scientific Reports, 2023 We study the severity of conflict-related violence in Colombia at an unprecedented granular scale in space and across time. Splitting the data into different geographical regions and different historically-relevant periods, we uncover variations in the ...
Katerina Tkacova +3 more
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GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks [PDF]
IEEE Conference on Computer Communications, 2019 In this paper, we generally formulate the dynamics prediction problem of various network systems (e.g., the prediction of mobility, traffic and topology) as the temporal link prediction task.
Kai Lei +4 more
semanticscholar +1 more source
Dynamic Neural Networks: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Dynamic neural network is an emerging research topic in deep learning. Compared to static models which have fixed computational graphs and parameters at the inference stage, dynamic networks can adapt their structures or parameters to different inputs ...
Yizeng Han +5 more
semanticscholar +1 more source
Dynamic community discovery via common subspace projection
New Journal of Physics, 2021 Detecting communities of highly internal and low external interactions in dynamically evolving networks has become increasingly important owing to its wide applications in divers fields.
Lanlan Yu +3 more
doaj +1 more source
Influential Performance of Nodes Identified by Relative Entropy in Dynamic Networks
Vietnam Journal of Computer Science, 2021 For decades, centrality has been one of the most studied concepts in the case of complex networks. It addresses the problem of identification of the most influential nodes in the network.
Péter Marjai, Attila Kiss
doaj +1 more source
Feature Dynamic Bayesian Networks [PDF]
, 2008 Feature Markov Decision Processes (PhiMDPs) are well-suited for learning agents in general environments. Nevertheless, unstructured (Phi)MDPs are limited to relatively simple environments.
Hutter, Marcus
core +4 more sources
Frontiers in Sociology, 2022 The ongoing COVID-19 pandemic constitutes a critical phase for the transnationalization of public spheres. Against this backdrop, we ask how transnational COVID-19 related online discourse has been throughout the EU over the first year of the pandemic ...
Wolf J. Schünemann +3 more
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Identifiability and transportability in dynamic causal networks [PDF]
, 2016 In this paper we propose a causal analog to the purely observational Dynamic Bayesian Networks, which we call Dynamic Causal Networks. We provide a sound and complete algorithm for identification of Dynamic Causal Networks, namely, for computing the ...
Arias Vicente, Marta +2 more
core +5 more sources