Semantic-Aware Heterogeneous Graph Learning for Fake News Detection.
While heterogeneous graph learning (HGL) is a promising approach for fake news detection, current methods struggle to capture complex relationships among neighborhoods due to their reliance on binary interactions. This limitation can lead to missed critical information and jeopardize performance. We address this issue...