Popularity Prediction of Online Contents via Cascade Graph and Temporal Information

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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Bibliographic Details
Main Authors: Yingdan Shang, Bin Zhou, Ye Wang, Aiping Li, Kai Chen, Yichen Song, Changjian Lin
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Axioms
Subjects:
popularity prediction
information cascade
deep learning
social network analysis
Online Access:https://www.mdpi.com/2075-1680/10/3/159

Internet

https://www.mdpi.com/2075-1680/10/3/159

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