A Visual Recommendation Analysis System Based on the Interpretable Graph Neural Network

To enhance the understanding of the graph patterns extracted by the interpretable model, a visual analysis system is designed to better understand the graph patterns and the model interpretation process. The visual system is explored from three levels: single user, user group and multiple user groups, which facilitates users to explore the recommended pattern of graph neural networks, thereby verifying the reliability of the explanation.