Results 31 to 40 of about 381,739 (304)
Mining Significant Temporal Networks Is Polynomial [PDF]
, 2020 A Conditional Simple Temporal Network with Uncertainty and Decisions (CSTNUD) is a formalism that tackles controllable and uncontrollable durations as well as controllable and uncontrollable choices simultaneously.
Sciavicco, Guido +5 more
core +1 more source
Temporal and spatial auxin responsive networks in maize primary roots
, 2022 Auxin is a key regulator of root morphogenesis across angiosperms. To better understand auxin-regulated networks underlying maize root development, we have characterized auxin-responsive transcription across two time points (30 and 120 min) and four ...
Dash, Linkan +6 more
core +2 more sources
Temporalizing static graph autoencoders to handle temporal networks [PDF]
Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021 Graph autoencoders (GAE), also known as graph embedding methods, learn latent representations of the nodes of a graph in a low-dimensional space where the structural information is preserved. While real-world graphs are generally dynamic, only a few embedding methods handle the temporal dimension: Even though they have proven their reliability, the ...
Haddad, Mounir +3 more
openaire +2 more sources
Recurrent Segmentation Meets Block Models in Temporal Networks
, 2022 A popular approach to model interactions is to represent them as a network with nodes being the agents and the interactions being the edges. Interactions are often timestamped, which leads to hav- ing timestamped edges.
Wickrama Arachchi, Wickrama Arachchige Chamalee Nisansala +1 more
core +1 more source
CoRR, 2019 Temporal networks representing a stream of timestamped edges are seemingly ubiquitous in the real-world. However, the massive size and continuous nature of these networks make them fundamentally challenging to analyze and leverage for descriptive and predictive modeling tasks.
Nesreen K. Ahmed +2 more
openaire +2 more sources
Temporal interactions facilitate endemicity in the susceptible-infected-susceptible epidemic model
New Journal of Physics, 2016 Data of physical contacts and face-to-face communications suggest temporally varying networks as the media on which infections take place among humans and animals.
Leo Speidel +3 more
doaj +1 more source
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
, 2023 Recent studies have shifted their focus towards formulating traffic forecasting as a spatio-temporal graph modeling problem. Typically, they constructed a static spatial graph at each time step and then connected each node with itself between adjacent ...
Philip S. Yu +15 more
core +1 more source
Lyapunov exponents for temporal networks
Physical Review E, 2023 By interpreting a temporal network as a trajectory of a latent graph dynamical system, we introduce the concept of dynamical instability of a temporal network, and construct a measure to estimate the network Maximum Lyapunov Exponent (nMLE) of a temporal network trajectory.
Annalisa Caligiuri +4 more
openaire +5 more sources
Mathematics, 2023 Within the 6G vision, the future of mobile communication networks is expected to become more complex, heterogeneous, and characterized by denser deployments with a myriad of users in an ever-more dynamic environment.
Marialisa Scatá, Aurelio La Corte
doaj +1 more source
Temporal Graphs and Temporal Network Characteristics for Bio-Inspired Networks during Optimization [PDF]
Applied Sciences, 2022 Temporal network analysis and time evolution of network characteristics are powerful tools in describing the changing topology of dynamic networks. This paper uses such approaches to better visualize and provide analytical measures for the changes in performance that we observed in Voronoi-type spatial coverage, particularly for the example of time ...
Nicholas S. DiBrita +4 more
openaire +4 more sources