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Learning temporal attention in dynamic graphs with bilinear interactions
Reasoning about graphs evolving over time is a challenging concept in many domains, such as bioinformatics, physics, and social networks. We consider a common case in which edges can be short term interactions (e.g., messaging) or long term structural connections (e.g., friendship). In practice, lon...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7932168/ https://ncbi.nlm.nih.gov/pubmed/33661968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0247936 |
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