Results 21 to 30 of about 4,648,552 (299)
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 For a long time, the vision community tries to learn the spatio-temporal representation by combining convolutional neural network together with various temporal models, such as the families of Markov chain, optical flow, RNN and temporal convolution. However, these pipelines consume enormous computing resources due to the alternately learning process ...
Hao Shao, Shengju Qian, Yu Liu
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On inefficiently connecting temporal networks
CoRR, 2023 A temporal graph can be represented by a graph with an edge labelling, such that an edge is present in the network if and only if the edge is assigned the corresponding time label. A journey is a labelled path in a temporal graph such that labels on successive edges of the path are increasing, and if all vertices admit journeys to all other vertices ...
Christiann, Esteban +2 more
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weg2vec: Event embedding for temporal networks
, 2019 Network embedding techniques are powerful to capture structural regularities in networks and to identify similarities between their local fabrics. However, conventional network embedding models are developed for static structures, commonly consider nodes
Torricelli, Maddalena +2 more
core +7 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 logic for social networks
Journal of Logic and Computation, 2022 Abstract This paper introduces a logic with a class of social network models that is based on standard Linear Temporal Logic, which allows for leveraging the power of existing model checkers for the analysis of social networks. We provide a short literature overview, and then define our logic and its axiomatization, present some simple ...
Vitor Machado, Mario R. F. Benevides
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Temporal Label Walk for Community Detection and Tracking in Temporal Network
Applied Sciences, 2019 The problem of temporal community detection is discussed in this paper. Main existing methods are either structure-based or incremental analysis. The difficulty of the former is to select a suitable time window.
Zheliang Liu +4 more
doaj +1 more source
Algorithms with predictions for triangle counting in temporal networks [PDF]
, 2023 openIn recent years, there have been major efforts in refining existing algorithms by considering problem instances that are likely to appear, while maintaining a formal and rigorous methodology as in time and space complexity analysis.
VENTURIN, GIORGIO
core
Temporal and spatial auxin responsive networks in maize primary roots [PDF]
, 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
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
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Gaussian Embedding of Temporal Networks
IEEE Access, 2023 Representing the nodes of continuous-time temporal graphs in a low-dimensional latent space has wide-ranging applications, from prediction to visualization. Yet, analyzing continuous-time relational data with timestamped interactions introduces unique challenges due to its sparsity.
Raphaël Romero +4 more
openaire +5 more sources