Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Graph neural networks are very powerful tools. They have already found powerful applications in domains such as route planning, fraud detection, network optimization, and drug research.

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

But as mobile hardware advances, Machine Learning (ML) techniques, particularly Graph Neural Networks (GNNs), are emerging as a powerful, efficient alternative to emulate physics on mobile. GNNs are ...

Airbnb CTO talks about cutting-edge technologies, graph neural networks, and innovation in AI during Transform 2021.

A deep neural network was trained using quantum tunneling to mimic the human ability to view optical illusions.