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 ...

FIR-GNN: A Graph Neural Network Using Flow Interaction Relationships for Intrusion Detection of Consumer Electronics in Smart Home Network Published in: IEEE Transactions on Consumer Electronics ( ...

"Tulsa’s end goal is clear: to become a hot spot for tech-driven industries," writes Libby Ediger, CEO of Atlas School, a ...

These graphs have become quite popular with the ease provided by some current computer programs. Despite their wide use, bar graphs have fostered a misleading approach to describe continuous data, ...

Factor graphs, initially developed as probabilistic graphical models, have been widely employed for solving large-scale inference problems in robotics, particularly in tasks such as pose estimation, ...