Graph Transformer Model Forecasts Urban Traffic Speeds
A new Spatio-Temporal Graph Transformer model predicts urban traffic speeds across multiple horizons by integrating fixed road network structures with ...
A new Spatio-Temporal Graph Transformer model predicts urban traffic speeds across multiple horizons by integrating fixed road network structures with ...
A new graph-based deep learning model reads the wiring structure of the EEG montage itself to detect every seizure in ...
A new diffusion-based framework called PACE-DP predicts how interaction relationships between two robotic arms and objects will evolve, delivering higher ...
An Indian research team has developed GraphX, an explainable graph transformer framework that classifies nail diseases with 94.97 percent accuracy ...
Researchers have developed GTVelo, a graph transformer-based neural ordinary differential equation model that improves RNA velocity inference by capturing long-range ...
Researchers have developed E-GTNet, a hybrid graph neural network that detects and visualizes evolving illicit Bitcoin transaction networks using edge-aware ...
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© 2026 Scienmag - Science Magazine