Posts about "Convolutional Networks"

Graph neural networks (GNNs) are gaining traction for their ability to process non-Euclidean data structures. In this comprehensive analysis, we explore the fundamental design choices and the underlying principles of convolutions on graphs, providing insights for both AI practitioners and researchers interested in leveraging GNNs for tasks involving complex relational data.