Trade Flow

International trade flow analysis aims to understand and predict the movement of goods and services across borders. Current research focuses on improving predictive accuracy using advanced techniques like machine learning (including factorization machines and graph neural networks) integrated with knowledge graphs that represent complex relationships between countries, goods, and trade agreements. These improved models offer more accurate forecasts and deeper insights into the impact of factors such as preferential trade agreements, benefiting policymakers, businesses, and economists in navigating the complexities of global trade.