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Medical irregular multivariate time series forecasting based on multi-scale temporal-frequency domain patch fusion and dynamic graph. [PDF]
Front PhysiolLiu X, Gong T, Li Y, Li N, Ding S.
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Open questions on viral frameshifting: Exploiting the structural plasticity of the frameshifting element for therapeutic intervention. [PDF]
Biophys JPortillo-Ledesma S +3 more
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Human Fall Detection with Infrared Imaging: A Comparison of Graph Convolutional Networks and YOLO. [PDF]
Sensors (Basel)Perliński K +2 more
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Correction for Waldeck-Weiermair et al., Dynamic regulation of receptor-modulated endothelial NADPH oxidases. [PDF]
Proc Natl Acad Sci U S Aeuropepmc +1 more source
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Fundamenta Informaticae, 2012
Dynamics is an inherent feature of many real life systems so it is natural to define and investigate the properties of models that reflect their dynamic nature. Dynamic graph colorings can be naturally applied in system modeling, e.g. for scheduling threads of parallel programs, time sharing in wireless networks, session scheduling in high-speed LAN's,
Piotr Borowiecki, Elzbieta Sidorowicz
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Dynamics is an inherent feature of many real life systems so it is natural to define and investigate the properties of models that reflect their dynamic nature. Dynamic graph colorings can be naturally applied in system modeling, e.g. for scheduling threads of parallel programs, time sharing in wireless networks, session scheduling in high-speed LAN's,
Piotr Borowiecki, Elzbieta Sidorowicz
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Dynamic K-Graphs: an Algorithm for Dynamic Graph Learning and Temporal Graph Signal Clustering
2020 28th European Signal Processing Conference (EUSIPCO), 2021Graph signal processing (GSP) have found many applications in different domains. The underlying graph may not be available in all applications, and it should be learned from the data. There exist complicated data, where the graph changes over time. Hence, it is necessary to estimate the dynamic graph.
Hesam Araghi +2 more
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Dynamics on a Graph as the Limit of the Dynamics on a “Fat Graph”
2015We discuss how the vertex boundary conditions for the dynamics of a quantum particle constrained on a graph emerge in the limit of the dynamics of a particle in a tubular region around the graph (“fat graph”) when the transversal section of this region shrinks to zero. We give evidence of the fact that if the limit dynamics exists and is induced by the
Dell'Antonio, Gianfausto +1 more
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