Before revision:  We propose a novel fake news detection framework, namely Hierarchical Graph Attention Network(HGAT) which employs a novel hierarchical attention mechanism to detect fake news by classifying news article nodes in the HIN. This method can effectively learn information from different types of related nodes through node-level and schema-level attention. Experiments with real-world fake news data show that our model can outperform text-based models and other network-based models.
After revision:  We propose a novel fake news detection framework, namely Hierarchical Graph Attention Network(HGAT) which employs a novel hierarchical attention mechanism to detect fake news by classifying news article nodes . Experiments on two real-world fake news data show that our model can outperform text-based models and other network-based models.