As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

You wouldn’t change up your entire production process based on sales from just a couple of locations, and you wouldn’t lower auto insurance premiums across the board because collision rates went down ...

Showing numerical data graphically is crucial whenever there are more than half-a-dozen data points – the human mind (at least of most of us) simply can’t grasp an array of values and see the ...

Giulia Livieri sets out remarkable new research with results that clarify how learning works on complex graphs and how quickly any method (including Graph Convolutional Networks) can learn from them, ...

One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...