Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...

This repository implements a Graph Neural Network (GNN) to predict patient length of stay using PyTorch Geometric. The implementation features advanced feature selection, interactive visualizations, ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...

The deal gives the NFL a 10% equity stake in ESPN. ESPN, a subsidiary of The Walt Disney Company, announced on Tuesday that it will officially acquire the National Football League (NFL) Network in a ...

Add a description, image, and links to the temporal-graph-dilated-convolution topic page so that developers can more easily learn about it.

Abstract: An undirected weighted graph (UWG) is the fundamental data representation in various real applications. A graph convolution network is frequently utilized for representation learning to a ...

Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...

College of Artificial Intelligence, Tianjin Normal University, Tianjin 300387, China Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin ...

ABSTRACT: Glioblastoma (GBM) is known for its poor prognosis and aggressive nature, driving the need for advanced models that provide survival prediction to improve patient prognosis. This literature ...