@Distill

Introductory overview of Graph Neural Networks (GNNs), explaining how neural networks can be adapted to process data structured as graphs. It covers the fundamental components of GNNs, explores why gr…

This article from Distill explains graph neural networks (GNNs), a family of neural networks designed to operate on graph-structured data like social networks and molecules. It highlights the challeng…

Distill thread exploring differentiable self-organizing systems, which use optimization to learn individual agent behaviors that achieve collective goals. It presents several research articles on topi…