Tag: graph neural networks
Why OpenAI might be hedging its bets on quantum AI
Analysis Quantum computing has remained a decade away for over a decade now, but according to industry experts it may hold the secret to...
Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs | Amazon Web Services
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...
Teaching old labels new tricks in heterogeneous graphs
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...
Build a GNN-based real-time fraud detection solution using the Deep Graph Library without using external graph storage
Fraud detection is an important problem that has applications in financial services, social media, ecommerce, gaming, and other industries. This post presents an implementation...
Identifying defense coverage schemes in NFL’s Next Gen Stats
This post is co-written with Jonathan Jung, Mike Band, Michael Chi, and Thompson Bliss at the National Football League. A coverage scheme refers...
Part 3. AI — A New Approach to Research, Innovation and Entrepreneurship
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...
Adaptive estimation of quantum observables
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...
Bio Eats World: Using AI to Take Bio Farther
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...
Power recommendations and search using an IMDb knowledge graph – Part 3
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...
Power recommendations and search using an IMDb knowledge graph – Part 2
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...
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial...
Graph neural network initialisation of quantum approximate optimisation
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,...
Knowledge Graphs At EMNLP 2021
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...