Tag: Graph neural network

A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving record accuracy ...

An Indian research team has developed GraphX, an explainable graph transformer framework that classifies nail diseases with 94.97 percent accuracy ...

A dual-stream graph neural network that encodes time-lagged relationships between market factors outperformed competing methods in forecasting carbon prices across ...

Researchers have developed a hierarchical temporal graph network that predicts student academic outcomes with high accuracy while using gradient-based attribution ...

Researchers have developed a physics-informed, uncertainty-aware graph neural network that predicts jet engine remaining useful life with record robustness under ...

Researchers in China have developed a self-supervised graph neural network that classifies the urgency of urban patrol cases without any ...

A new graph neural network framework called AlloPool distills molecular dynamics simulations into minimal, time-resolved interaction networks that reveal how ...

Researchers in Saudi Arabia have developed a GNN-GRU-MLP deep learning framework that fuses multi-sensor marine time-series data to classify coastal ...

Researchers have developed a two-step machine-learning method that predicts small-molecule retention times in liquid chromatography for any experimental setup without ...

Researchers have developed a hybrid deep learning architecture combining graph neural networks, Transformers, and variational autoencoders to detect and explain ...