Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection

@article{Wei2021TowardsPU,
  title={Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection},
  author={Lingwei Wei and Dou Hu and Wei Zhou and Zhaojuan Yue and Songlin Hu},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.11934}
}
Detecting rumors on social media is a very critical task with significant implications to the economy, public health, etc. Previous works generally capture effective features from texts and the propagation structure. However, the uncertainty caused by unreliable relations in the propagation structure is common and inevitable due to wily rumor producers and the limited collection of spread data. Most approaches neglect it and may seriously limit the learning of features. Towards this issue, this… 

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