Results 11 to 20 of about 1,239,914 (289)
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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Detecting the driver nodes of temporal networks
New Journal of Physics, 2023 Detecting the driver nodes of complex networks has garnered significant attention recently to control complex systems to desired behaviors, where nodes represent system components and edges encode their interactions.
Tingting Qin, Gaopeng Duan, Aming Li
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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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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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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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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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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
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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 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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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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