Graph neural networks in TensorFlow

This article is also shared on the Google Research Blog

Objects and their relationships are ubiquitous in the world around us, and relationships can be as important to understanding an object as its own attributes viewed in isolation — for example: transportation networks, production networks, knowledge graphs, or social networks. Discrete mathematics and computer science have a long history of formalizing such networks them as …

ai article blog engineer google google research graph graph mining graph neural networks graphs learn machine learning networks neural networks objects relationships release notes research research blog software software engineer tensorflow understanding world