Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings

Diego Rincon-Yanez, Chahinez Ounoughi, Bassem Sellami, Tarmo Kalvet, Marek Tiits, Sabrina Senatore, Sadok Ben Yahia

Abstract: Highlights•A novel way to exploit Knowledge Graphs to model and predict International Trade.•A KG construction method for enhance model accuracy inputting embeddings as new features.•A visual explainable prediction of global trade flows to provide insights for descion-making stakeholders