Graph Neural Networks (GNNs) are a type of neural networks specifically designed to handle data presented in the form of graphs, rather than traditional tabular or image formats. This makes them suitable for a wide range of applications that rely on relationships between entities, such as social networks, protein networks, map data, and recommendation systems.