Message Passing

Graph Neural Networks, Explained: How Message Passing Turns Relationships Into Predictions

Graph Neural Networks (GNNs) are specialized neural models designed for interconnected data, utilizing a 'message passing' mechanism to learn from relationships between entities. This approach enables GNNs to uncover patterns and make predictions in complex networks that traditional neural networks cannot directly handle.