IEEE

Graph Attention Networks with Dual-Edge Connectivity for Alzheimer’s Disease Detection from Speech

Abstract: Early and non-invasive screening tools for Alzheimer’s Disease (AD) are critical to large-scale clinical management. However, current speech-based systems often require transcripts, language ...
IEEE

Graph transformer with structural embedding and training for hyperspectral image

Abstract: Graph transformer networks have received more attention in hyperspectral image (HSI) classification. However, they overlooked the influence of graph connectivity strength in positional ...
Frontiers

Exploring physical and functional EEG connectivity with multilayer graph transformer convolutional networks for emotion recognition

1 School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China 2 School of Engineering, University of Birmingham, Birmingham, United Kingdom Electroencephalogram ...
GitHub

A UNIFIED SPATIOTEMPORAL FREQUENCY GRAPH NEURAL NETWORK FOR FMRI-BASED BRAIN FUNCTIONAL CONNECTIVITY ANALYSIS

Example structure of the dataset directory tree. If you find our work useful in your research or if you use parts of this code please consider citing our paper. @inproceedings{huang2025unified, title= ...
Frontiers

Multimodal graph neural networks in healthcare: a review of fusion strategies across biomedical domains

1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...
GitHub

Research paper and source files for "Kalman-Filter Soc Estimation for Li-ion EV and HEV Cells" , this includes battery model simulated , matlab source files and simulink files ...

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