Graph Neural Networks for Modeling Causality in International Trade
Neural network algorithms have proven successful for accurate classifications in many domains such as image recognition and semantic parsing. However, they have long suffered from the lack of ability to measure causality, predict outliers effectively, or provide explainability relevant to the applic...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
LibraryPress@UF
2021-04-01
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| Serie: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Soggetti: | |
| Accesso online: | https://journals.flvc.org/FLAIRS/article/view/128485 |
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