Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Whether it's powering your phone’s autocorrect or helping someone create a new recipe with a few words, artificial intelligence (AI) is everywhere right now. But if you're still nodding along when ...

Abstract: Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e., graph ...

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions. Look at a picture of a cat, and you’ll instantly recognize it as a cat. But try to ...

If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...

The president of the leading trade group representing broadcast journalists is blasting former President Trump over his continued threats against some of the nation’s largest news networks. “From our ...

Princeton University professor John Hopfield has been awarded the 2024 Nobel Prize in physics "for foundational discoveries and inventions that enable machine learning with artificial neural networks.

Abstract: Graph neural networks (GNNs) have been regarded as the basic model to facilitate deep learning (DL) for revolutionizing resource allocation in wireless networks. GNN-based models are shown ...