Results 21 to 30 of about 1,239,914 (289)
Temporal-Kernel Recurrent Neural Networks [PDF]
Neural Networks, 2010 A Recurrent Neural Network (RNN) is a powerful connectionist model that can be applied to many challenging sequential problems, including problems that naturally arise in language and speech. However, RNNs are extremely hard to train on problems that have long-term dependencies, where it is necessary to remember events for many timesteps before using ...
Sutskever, Ilya, Hinton, Geoffrey
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A Generalized Notion of Time for Modeling Temporal Networks [PDF]
, 2019 Most approaches for modeling and analyzing temporal networks do not explicitly discuss the underlying notion of time. In this paper, we therefore introduce a generalized notion of time for temporal networks. Our approach also allows for considering non-
Kueffner, Konstantin, Strembeck, Mark
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Research on K-truss Community Search Algorithm for Temporal Networks
Jisuanji kexue yu tansuo, 2020 In applications such as communication network, collaboration network and social network analysis, time stamps are usually included on the edge. However, most previous studies focus on identifying communities in networks without time information.
XU Lantian, LI Ronghua, WANG Guoren, WANG Biao
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Graph Metrics for Temporal Networks [PDF]
, 2013 Temporal networks, i.e., networks in which the interactions among a set of elementary units change over time, can be modelled in terms of time-varying graphs, which are time-ordered sequences of graphs over a set of nodes. In such graphs, the concepts of
A Arenas +39 more
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Communicability in time-varying networks with memory
New Journal of Physics, 2022 We develop a first-principles approach to define the communicability between two nodes in a time-varying network with memory. The formulation is based on the time-fractional Schrödinger equation, where the fractional (of Caputo type) derivative accounts ...
Ernesto Estrada
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Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks
Applied Sciences, 2023 Many real-world systems can be expressed in temporal networks with nodes playing different roles in structure and function, and edges representing the relationships between nodes.
Enyu Yu +4 more
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Visual Analysis of Contact Patterns in School Environments
Informatics in Education, 2020 Information Visualisation strategies can be applied in a variety of domains. In the context of temporal networks, i.e., networks in which interactions between individuals occur throughout time, efforts have been conducted to develop visual approaches ...
Jean R. PONCIANO +4 more
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Access Controlled Temporal Networks
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017 We define Access-Controlled Temporal Networks (ACTNs) as an extension of Conditional Simple Temporal Networks with Uncertainty (CSTNUs). CSTNUs are able to handle features such as contingent durations and conditional constraints, and have thus been used to model the temporal constraints of workflows underlying business processes.
COMBI, Carlo +3 more
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Brief Announcement: Integrating Temporal Information to Spatial Information in a Neural Circuit [PDF]
, 2019 In this paper, we consider networks of deterministic spiking neurons, firing synchronously at discrete times. We consider the problem of translating temporal information into spatial information in such networks, an important task that is carried out by ...
Lynch, Nancy, Wang, Mien Brabeeba
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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
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