Tag: Graph neural network

Tautomerism occupies a curious position in chemistry: it is conceptually simple, involving nothing more than the relocation of a single ...

Researchers have developed OrbitGuardNet, a hybrid AI defense that detects BeiDou spoofing attacks on drone swarms with up to 98.1 ...

Researchers have developed an unsupervised deep learning model called GSA-VAE that detects faults in electric vehicle batteries by fusing causal ...

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 ...