Tag: Graph neural network

A new dual-stream deep learning framework fuses spatiotemporal brain activity with dynamic functional connectivity to classify neurological disease severity from ...

A new multimodal AI framework called TriCCA-PPI fuses sequence, structure, and functional data through chained cross-attention to predict protein-protein interactions ...

Researchers have developed CALT-GNN, a graph neural network that combines cross-attention-based multi-omics integration with long-tail expert routing to improve cancer ...

A physics-guided graph neural network with an extended LSTM backbone achieved year-long daily runoff forecasts on the middle Yellow River, ...

Researchers have introduced RPGCN, a relation-preserving graph convolutional network that combats oversmoothing and relational dilution to outperform state-of-the-art baselines across ...

Researchers at Lanzhou University have developed AMGFM, a multimodal AI model that fuses EEG, eye movement, and pupil signals to ...

Researchers in China have developed a graph-based deep reinforcement learning system that learns to schedule single-armed cluster tools processing multiple ...

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 ...