Tag: Graph neural network

Researchers in China have developed a graph neural network algorithm that models item, category and author signals from short-term viewing ...

A new graph neural network method called GLASS filters unreliable splice alignments in long-read RNA sequencing data, improving the precision ...

A new graph neural network framework called DrugSAGE predicts cancer drug responses by aggregating transcriptomic features from tumors and their ...

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 ...