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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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-12-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-82433-4 |
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