Domain generalization addresses the challenge that arises when a model trained on one or more source domains must perform reliably on unseen target domains with different data distributions. Central ...

Graph neural networks (GNNs) have become a cornerstone of machine learning for relational data, powering applications from social‐network analysis to molecular property prediction. However, their ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...