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[1J3-GS-10e-01] Predicting the influence of event news transferring between countries using Graph Neural Networks
Keywords:Graph, Graph Neural Network (GNN), Graph Attention Network (GAT), Attention, News
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.
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.
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