Harnessing Graph Neural Networks to Predict International Trade Flows

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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Bibliographic Details
Main Authors: Bassem Sellami, Chahinez Ounoughi, Tarmo Kalvet, Marek Tiits, Diego Rincon-Yanez
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Big Data and Cognitive Computing
Subjects:
international trade
machine learning
random forest
graph neural networks
graph convolutional networks
graph attention networks
Online Access:https://www.mdpi.com/2504-2289/8/6/65

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https://www.mdpi.com/2504-2289/8/6/65

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