Presentation information

General Session

General Session » GS-10 AI application

[1J3-GS-10e] AI応用:ニュースと学術情報

Tue. Jun 8, 2021 3:20 PM - 5:00 PM Room J (GS room 5)

座長:吉田 光男(豊橋技術科学大学)

3:20 PM - 3:40 PM

[1J3-GS-10e-01] Predicting the influence of event news transferring between countries using Graph Neural Networks

〇Akito Suzuki1, Akihiro Tsuji1, Yusuke Tashiro1,2, Sintaro Suda1, Tokuma Suzuki1 (1. Mitsubishi UFJ Trust Investment Technology Institute(MTEC), 2. Japan Digital Design(JDD))

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.

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