What are graph neural networks?

Graph Neural Networks (GNNs) are a type of machine learning model that can process and analyze structured data, such as graphs and networks. These networks operate by propagating information across the edges and nodes of the input graph, allowing them to capture relationships between different entities and make predictions or classifications based on that information. Unlike traditional neural networks, which rely on tabular data, GNNs can handle data with rich, interconnected relationships, making them useful for a variety of tasks including drug discovery, social network analysis, and recommendation systems.

This mind map was published on 5 June 2023 and has been viewed 136 times.