Graph Neural Networks for Clustering: An In-Depth Guide
Graph Neural Networks (GNNs) are a sophisticated class of neural networks tailored to perform inference on data that is structured as graphs. This innovative approach distinguishes itself from traditional neural networks, which typically operate on grid-like data structures such as images and sequences. The unique capability of GNNs lies in their ability to leverage the … Read more