Neural networks on graphs

Graph neural networks (GNNs) are deep learning methods that work on graph data. They belong to the family of geometric deep learning methods. In recent years, we've seen a rise in the popularity of graph neural networks, for good reason. The application of GNNs has been studied in several domains, and efficient algorithms have been developed. Currently, much research and development are being put into GNNs to extend their applications to solve complex real-world problems.

Get hands-on with 1200+ tech skills courses.