Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional ... More technically, they are graphs. The attributes of the nodes and the ways ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer ...

GNNs extend the foundational ideas of Convolutional Neural Networks (CNNs) to graph data. While CNNs capture spatial locality in grid-like data (for example, images) through convolutional kernels, ...