Graph Neural Networks (GNNs) are specialized neural networks designed to operate on graph structures. In machine learning, traditional models like convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to work on structured data, such as grids or sequences. However, many real-world applications, such as social networks, biological structures, and the relationships between … Continue reading Understanding GNNs: Graph Neural Networks