Temporal social network modeling of mobile connectivity data with graph neural networks.
Graph neural networks (GNNs) have emerged as a state-of-the-art data-driven tool for modeling connectivity data of graph-structured complex networks and integrating information of their nodes and edges in space and time. However, as of yet, the analysis of social networks using the time series of pe...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2025-01-01
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| coleção: | PLoS ONE |
| Acesso em linha: | https://doi.org/10.1371/journal.pone.0335267 |
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