Predicting Soccer Match Outcomes With Heterogeneous Graph Neural Networks

Description: This repository contains the code and data used in the study of predicting football match outcomes using neural networks on heterogeneous graphs. The project combines graphical representations of interactions between players and teams with machine learning techniques to improve prediction accuracy. It includes datasets from major leagues in England, Spain, France, Brazil, Germany, Italy, the Netherlands, and Argentina.