GRASS: Learning Spatial-Temporal Properties From Chainlike Cascade Data for Microscopic Diffusion Prediction

Information diffusion prediction captures diffusion dynamics of online messages in social networks. Thus, it is the basis of many essential tasks such as popularity prediction and viral marketing. However, there are two thorny problems caused by the loss of spatial-temporal properties of cascade dat...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2023-07, Vol.35 (11), p.16313-16327
Hauptverfasser:	Li, Huacheng, Xia, Chunhe, Wang, Tianbo, Wang, Zhao, Cui, Peng, Li, Xiaojian
Format:	Artikel
Sprache:	eng
Schlagworte:	Attention cascade prediction Mathematical models Microscopy neural network Predictive models Receivers Recurrent neural networks social network analysis Social networking (online) Trajectory
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