Graph Neural Networks Demystified: How They Work, their Applications and Essential Tools
Graph Neural Networks (GNNs) are a powerful type of deep learning model designed to handle data in the form of graphs. Unlike traditional methods, which work well with data represented in grids or sequences (like images or text), GNNs are specifically suited for tasks where data is interconnected.