Predicting the influence of event news transferring between countries using Graph Neural Networks

Abstract

The purpose of this paper is to predict an increase or decrease in the number of event news to capture propagated information by using GNN. Also, we aim to realize different influence for each type of event by using embedding vectors of ”news tags” as inputs to the model. Moreover, GAT attention makes us to interpret the news impacts from other countries. Our experiments showed that GNN captured information propagated from news in other countries and improved the prediction accuracy. Furthermore, the level of attention was qualitatively consistent with some event samples.