Popularity Prediction of Online Contents via Cascade Graph and Temporal Information
Predicting the popularity of online content is an important task for content recommendation, social influence prediction and so on. Recent deep learning models generally utilize graph neural networks to model the complex relationship between information cascade graph and future popularity, and have...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2021-07-01
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| Schriftenreihe: | Axioms |
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| Online-Zugang: | https://www.mdpi.com/2075-1680/10/3/159 |
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