Graph neural networks will be a major trend in 2021, Josifovski predicted. At its core, the deep learning paradigm is a different way of structuring data, like images, and sequencing data, like text.

How We Use Artificial Neural Networks. Artificial neural networks are interpreters and approximators. They use prescribed learning rules to reason with the data they receive.

In this blog post we introduced GNN and how to build GNN models using different features of the TF-GNN API. We also shared the results of implementing a model from scratch following DeepMind’s ...

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...

The key to understanding artificial neural networks begins by identifying the types of artificial neural network we’re talking about. There are four main classifications of neural networks ...