Tag: Graph neural network

Researchers at Shenyang University of Technology have developed a distance-aware adaptive graph neural network that estimates 6D object poses from ...

Researchers at Aston University have created SEdgeNet, a graph neural network that recognises human activities from sparse millimetre-wave radar point ...

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

Researchers in Beijing have unveiled a wavelet-enhanced model combining Mamba sequence modeling and graph neural networks that outperforms prevailing methods ...

Researchers have built a geometry problem solver that turns diagrams into heterogeneous graphs and aligns them with text, outperforming existing ...

Researchers have developed DFDM, a diffusion model that dynamically fuses local spatial and global spectral graph representations to generate chemically ...

A new dual-graph deep learning framework called CGA-DTA conditions molecular graph topology on the binding partner and applies cross-graph attention ...

A machine-learning-driven statistical analysis of a six-metal high-entropy alloy reveals that its CO tolerance in alkaline hydrogen oxidation arises from ...

Researchers have developed scFormer, a heterogeneous graph transformer framework that identifies rare cell states in single-cell and spatial transcriptomic data ...

A new label-scarce graph AI framework reliably detects deep, subtle mineralization anomalies at the Kalatongke copper-nickel deposit using only 906 ...