Predicting popularity trend in social media networks with multi-layer temporal graph neural networks
Abstract Predicting what becomes popular on social media is crucial because it helps us understand future topics and public interests based on massive social data. Previous studies mainly focused on picking specific features and checking past statistic numbers, ignoring the hidden impact of messages...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer
2024-04-01
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| Serier: | Complex & Intelligent Systems |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/s40747-024-01402-6 |
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