A spatio-temporal graph wavelet neural network (ST-GWNN) for association mining in timely social media data

Abstract Social media generates vast amounts of spatio-temporal sequential data. However, current methods often ignore the complex spatio-temporal correlations within these data. This oversight makes it difficult to fully capture the dynamic features of the data. To delve deeply into the concealed f...

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Главные авторы:	Pengyuan Wang, Zhengying Wen
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2024-12-01
Серии:	Scientific Reports
Предметы:	Spatio-temporal sequence data Social media Association mining Spatio-temporal graphs Graph wavelet neural networks
Online-ссылка:	https://doi.org/10.1038/s41598-024-82433-4
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