PyTorch Geometric (PyG) is a library that data scientists and others can use to write and train graph neural networks for applications related to structured data. As described on its GitHub ...

Neural regression solves a regression problem using a neural network. This article is the first in a series of four articles that present a complete end-to-end production-quality example of neural ...

In case you hadn't heard, neural networks ... sub-graphs, on one node, and then carve off another sub-graph onto another piece of compute." After the sharding, an algorithm in PyTorch can that ...

This article assumes you have a basic familiarity with Python and the PyTorch neural network library. If you're new to PyTorch, you can get up to speed by reviewing the article "Multi-Class ...

Since 2012, engineers and data scientists at the media giant Disney have been building what the company calls the Content Genome, a knowledge graph ... neural network (CNN) using PyTorch ...

The addition of support for PyTorch, first built by Facebook Inc., means that thousands more developers will be able to leverage the Android Neural Network application programming interface’s ...

the Open Neural Network Exchange this morning in respective blog posts. The Exchange makes it easier for machine learning developers to convert models between PyTorch and Caffe2 to reduce the ...