Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection

@article{Ren2020AdversarialAL,
  title={Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection},
  author={Yuxiang Ren and Bo Wang and Jiawei Zhang and Yi Chang},
  journal={2020 IEEE International Conference on Data Mining (ICDM)},
  year={2020},
  pages={452-461}
}
  • Yuxiang Ren, Bo Wang, Yi Chang
  • Published 1 November 2020
  • Computer Science
  • 2020 IEEE International Conference on Data Mining (ICDM)
The explosive growth of fake news along with destructive effects on politics, economy, and public safety has increased the demand for fake news detection. Fake news on social media does not exist independently in the form of an article. Many other entities, such as news creators, news subjects, and so on, exist on social media and have relationships with news articles. Different entities and relationships can be modeled as a heterogeneous information network (HIN). In this paper, we attempt to… 

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