Rumor detection based on propagation graph neural network with attention mechanism

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Rumor detection,Social network,Graph neural network,Social security,Representation learning

论文评审过程：Received 5 July 2019, Revised 21 May 2020, Accepted 23 May 2020, Available online 5 June 2020, Version of Record 21 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113595