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Harnessing Graph Neural Networks to Predict International Trade Flows

In the realm of international trade and economic development, the prediction of trade flows between countries is crucial for identifying export opportunities. Commonly used log-linear regression models are constrained due to difficulties when dealing with extensive, high-cardinality datasets, and th...

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Uloženo v:
Hlavní autoři: Bassem Sellami, Chahinez Ounoughi, Tarmo Kalvet, Marek Tiits, Diego Rincon-Yanez
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2024-06-01
Edice:Big Data and Cognitive Computing
Témata:
international trade
machine learning
random forest
graph neural networks
graph convolutional networks
graph attention networks
On-line přístup:https://www.mdpi.com/2504-2289/8/6/65
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