From power grids to epidemics: Study shows how small patterns trigger systemic failures

Why do some systems collapse suddenly after what seems like a minor disturbance? A single transmission line failure can cascade into widespread blackouts. A delayed shipment can ripple through a ...
IEEE

A Flexible Diffusion Convolution for Graph Neural Networks

Abstract: Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...
IEEE

Dynamic Semantic-Based Spatial-Temporal Graph Convolution Network for Skeleton-Based Human Action Recognition

Abstract: Human action recognition is an essential topic in computer vision and image processing. Graph convolutional networks (GCNs) have attracted significant attention and achieved noteworthy ...
Frontiers

Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances

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 ...
Frontiers

Graph Convolutional Networks for multi-modal robotic martial arts leg pose recognition

Introduction: Accurate recognition of martial arts leg poses is essential for applications in sports analytics, rehabilitation, and human-computer interaction. Traditional pose recognition models, ...
Oak Ridge National Lab

Impedance-Aware Graph Convolutional Networks for Voltage Estimation in Active Distribution Networks

Voltage estimation plays a key role in ensuring the effective control and reliability of distribution networks. However, traditional machine learning methods often fail to capture the details of the ...
Microsoft

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties.

The use of machine learning methods for accelerating the design of crystalline materials usually requires manually constructed feature vectors or complex transformation of atom coordinates to input ...