Results 11 to 20 of about 323,205 (262)
A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction
IEEE Access, 2022 Graph neural networks (GNNs) are rapidly becoming the dominant way to learn on graph-structured data. Link prediction is a near-universal benchmark for new GNN models. Many advanced models such as Dynamic graph neural networks (DGNNs) specifically target
Joakim Skarding +3 more
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Effective Influence Spreading in Temporal Networks With Sequential Seeding
IEEE Access, 2020 The spread of influence in networks is a topic of great importance in many application areas. For instance, one would like to maximise the coverage, limiting the budget for marketing campaign initialisation and use the potential of social influence.
Radosaw Michalski +2 more
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Motifs in Temporal Networks [PDF]
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017 Networks are a fundamental tool for modeling complex systems in a variety of domains including social and communication networks as well as biology and neuroscience. Small subgraph patterns in networks, called network motifs, are crucial to understanding the structure and function of these systems.
Ashwin Paranjape +2 more
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Homogenous mixing and network approximations in discrete-time formulation of a SIRS model
Journal of Biological Dynamics, 2021 A discrete-time deterministic epidemic model is proposed to better understand the contagious dynamics and the behaviour observed in the incidence of real infectious diseases.
Ilaria Renna
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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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Path Homology and Temporal Networks [PDF]
, 2021 We present an algorithm to compute path homology for simple digraphs, and use it to topologically analyze various small digraphs en route to an analysis of complex temporal networks which exhibit such digraphs as underlying motifs. The digraphs analyzed include all digraphs, directed acyclic graphs, and undirected graphs up to certain numbers of ...
Samir Chowdhury 0001 +2 more
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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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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
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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
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