We are excited to announce the open-source release of GraphStorm 0.1, a low-code enterprise graph machine learning (ML) framework to build, train, and deploy...

Posted by Minji Yoon, Research Intern, and Bryan Perozzi, Research Scientist, Google Research, Graph Mining Team Industrial applications of machine learning are commonly composed of...

Fraud detection is an important problem that has applications in financial services, social media, ecommerce, gaming, and other industries. This post presents an implementation...

This post is co-written with Jonathan Jung, Mike Band, Michael Chi, and Thompson Bliss at the National Football League. A coverage scheme refers...

Credit: “…it is the scale of physics where life emerges, but that life itself is a broader phenomenon recurring across different scales, from chemistry to...

Ariel Shlosberg1,2, Andrew J. Jena3,4, Priyanka Mukhopadhyay3,4, Jan F. Haase3,5,6, Felix Leditzky3,4,7,8, and Luca Dellantonio3,5,91JILA, University of Colorado and National Institute of Standards and...

In this episode, Vijay Pande speaks with Jakob Uszkoreit, the cofounder and CEO of Inceptive. Together, they discuss all things AI. We’re publishing the transcript...

This three-part series demonstrates how to use graph neural networks (GNNs) and Amazon Neptune to generate movie recommendations using the IMDb and Box Office...

This three-part series demonstrates how to use graph neural networks (GNNs) and Amazon Neptune to generate movie recommendations using the IMDb and Box Office...

Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial...

Nishant Jain1, Brian Coyle2, Elham Kashefi2,3, and Niraj Kumar21Indian Institute of Technology, Roorkee, India.2School of Informatics, University of Edinburgh, EH8 9AB Edinburgh, United Kingdom.3LIP6,...

I didn’t make it to Punta Cana this year 😢 but I’m happy (remotely) for the folks who managed to get there in spite...