I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

An effective approach to solving sparse regularization problems is the iterative re-weighting least squares (IRLSs) algorithm. However, IRLS is computationally intensive and may not be suitable for ...