Eager execution means that TensorFlow code runs when it is defined, as opposed to adding nodes and edges to a graph to be run in a session later, which was TensorFlow’s original mode.

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.

While DeepMind’s original implementation uses an older TensorFlow 1.0 framework, which lacks compatibility with recent libraries, we adapt their architecture to TensorFlow 2, exploring the newly ...

Similarly, Google has released TensorFlow Graph Neural Networks, a library designed to make it easier to work with graph-structured data in its TensorFlow machine learning (ML) framework.