Tag: graph attention network

A new graph neural network study of spatial transcriptomics finds that attention mechanisms, not elaborate edge features, drive accurate identification ...

A new hybrid 3D CNN-graph attention framework with entropy-guided fusion achieved an AUROC of 0.964 and delineated five new exploration ...

Researchers have developed a graph-enhanced bidirectional GRU model that detected 44 of 45 simulated anomalies in a realistic power generation ...

A new spatially aware graph-learning framework called PlantCCC prioritizes context-specific ligand–receptor communication patterns in plant spatial transcriptomics.

A new double-layer consensus framework combines Pythagorean fuzzy sets, behavioral economics, social network analysis, and graph attention networks to help ...

A geometric deep learning framework trained on finite element simulations predicts cold spray particle impact responses with R-squared values exceeding ...