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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...
Enregistré dans:
| Publié dans: | PLoS One |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2021
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| Sujets: | |
| Accès en ligne: | 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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