BIOENGINEER

Graph Neural Networks Learn the Noise of Real Quantum Chips to Rescue Failing Computations

Researchers in Zhengzhou have built a graph neural network that encodes the measured noise of superconducting quantum ...
BIOENGINEER

Graph Neural Networks Push Diabetic Retinopathy Detection Toward Near-Perfect Accuracy

Researchers in India have built a hybrid graph neural network framework that converts retinal images into graph structures, ...
techtarget

What are graph neural networks (GNNs)?

Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...
Nature

Graph Neural Network Techniques and Applications

Graph neural networks (GNNs) have emerged as a versatile class of machine-learning models designed to process data structured as graphs, capturing relationships among entities through iterative ...

The Collapse of Graph Neural Networks: Why Accuracy Halves When Node Count Increases 100-Fold

GNNs lose accuracy as the number of nodes increases. Their mathematical fate is actually sealed the moment layers are stacked ...
European Medical Journal

AI Maps Atrial Cardiomyopathy Using Heart Signals

A graph neural network identified atrial cardiomyopathy location with 89% accuracy using simulated body surface electrical recordings.
techtarget

Machine learning vs. neural networks: What's the difference?

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...