Title
Rumor detection based on propagation graph neural network with attention mechanism.
Abstract
•A novel way is proposed to explicitly construct the propagation graph of rumors.•A representation learning algorithm based on gated graph neural network is proposed.•Two rumor detection models with different classification strategies are proposed.•Attention mechanism is included to improve the detection performance.
Year
DOI
Venue
2020
10.1016/j.eswa.2020.113595
Expert Systems with Applications
Keywords
DocType
Volume
Rumor detection,Social network,Graph neural network,Social security,Representation learning
Journal
158
ISSN
Citations 
PageRank 
0957-4174
3
0.48
References 
Authors
0
5
Name
Order
Citations
PageRank
Zhiyuan Wu130.48
De-Chang Pi217739.40
Junfu Chen330.48
Meng Xie430.48
Jianjun Cao530.48