AlphaGalileo

AdapGNN: A New Framework Enhances Explainability of Graph Neural Networks for Molecular Property Prediction

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
Nature

A lightweight neural network approach for predicting national Gross Domestic Product (LightNet-GDP) with regression benchmarks

Gross Domestic Product (GDP) is one of the most important factors to determine the economic state and performance of a country. The correct prediction of GDP is crucial in the development of the ...
Nature

Convolutional neural networks using preoperative CT to predict short-term recurrence after incisional hernia repair

Convolutional neural networks (CNNs) are deep neural networks that use convolutional layers to extract spatial features from data. The application of CNNs in assessment of postoperative outcomes of ...
EurekAlert!

Neural network trained to predict crises in Russian stock market

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well ...