At the Envision Summit 2025 in San Juan, Puerto Rico, Sharon Fekrat, MD, FACS, FASRS talked about multi-modal retinal and ...

To address these issues, we propose a new GNN algorithm, LEGNN (Local and Global Enhanced Graph Neural Network), which introduces several key improvements over traditional GNN models such as GraphSAGE ...

Existing research has focused on traditional graph neural networks, which use predefined graphs ... Then we propose a Decoupled Adaptive Graph Convolution Attention Network for Traffic Forecasting ...

We here aimed to test the hypothesis that a high-dosed prebiotic fibre intervention can alter the gut microbiome and thereby neural activation patterns of ... over design and assessed food wanting ...

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition. The Brain Activity Flow ("Actflow") Toolbox. Tools to ...

Our goal is to link EEG and fMRI and investigate whether variations in neural activity patterns (from EEG) synchronize with the spatially varying resting-state fMRI networks. We conducted the ...

Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan Taiwan International Graduate Program on Sustainable Chemical Science and ...

GraphPro is a versatile and pluggable OO python library designed for leveraging deep graph learning representations to gain insights into structural proteins and ...