Results 21 to 30 of about 381,739 (304)
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
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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
IEEE Access, 2023 One of the key goals of Informetrics is to identify citation-based popular articles among so many other aspects, such as determining popular research topics, identifying influential scholars, and predicting hot trends in science. These can be achieved by
Khushnood Abbas +9 more
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Transitive reduction of citation networks [PDF]
, 2014 In many complex networks, the vertices are ordered in time, and edges represent causal connections. We propose methods of analysing such directed acyclic graphs taking into account the constraints of causality and highlighting the causal structure.
Tamar V. Loach +7 more
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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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Temporal network embedding framework with causal anonymous walks representations [PDF]
PeerJ Computer Science, 2022 Many tasks in graph machine learning, such as link prediction and node classification, are typically solved using representation learning. Each node or edge in the network is encoded via an embedding.
Ilya Makarov +7 more
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Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
IEEE Access, 2021 Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems and epidemiology. Representing complex networks as structures changing over time allow network models to leverage not only structural but also ...
Joakim Skarding +2 more
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Communicability in temporal networks [PDF]
Physical Review E, 2013 A first-principles approach to quantify the communicability between pairs of nodes in temporal networks is proposed. It corresponds to the imaginary-time propagator of a quantum random walk in the temporal network, which accounts for unique structural and temporal characteristics of both streaming and nonstreaming temporal networks.
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Temporal Network Creation Games
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023 Most networks are not static objects, but instead they change over time. This observation has sparked rigorous research on temporal graphs within the last years. In temporal graphs, we have a fixed set of nodes and the connections between them are only available at certain time steps. This gives rise to a plethora of algorithmic problems on such graphs,
Bilo' D. +6 more
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Dynamic Community Discovery Method Based on Phylogenetic Planted Partition in Temporal Networks
Applied Sciences, 2022 As most of the community discovery methods are researched by static thought, some community discovery algorithms cannot represent the whole dynamic network change process efficiently.
Xiaoyang Liu +4 more
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