Leveraging Graph Neural Networks for Explainable Identification of Hate Speech towards Islam

A novel approach using Graph Neural Networks (GNNs) can effectively identify and explain hate speech directed at Islam, achieving state-of-the-art performance and providing valuable insights into the underlying patterns and context of such content.