On the more technical side, TensorFlow’s eager execution feature will exit beta. It’s designed to simplify the process of setting up and executing a computational graph, which TensorFlow ...

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.

All the processors have to have all the data they need when they need it; this is the challenge. This is what Poplar aims for—taking more abstract graph descriptions that TensorFlow (for example) ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Minor-Free Graph: A graph that does not contain a specified smaller graph (minor) as a subgraph, which is critical for certifying graph classes and in achieving computational optimisations.