Frontiers

DHCLHAM: microbe-drug interaction prediction based on dual-hypergraph contrastive learning ...

Introduction: Various drugs can markedly disrupt gut microbiota, resulting in a reduction of beneficial microbial populations and precipitating a range of negative clinical consequences. Traditional ...
IEEE

Hierarchical Dilated Dense Graph Convolution Network for Point Cloud Upsampling

Abstract: Point cloud upsampling technology has been studied in detail to address the sparsity and non-uniform distribution problems commonly found in real point cloud data. The upsampling methods ...
WBAL-TV

FBI Baltimore warns of 764 network, group of individuals that coerces children into violent ...

MARYLAND. ACCORDING TO THE FBI. SEVEN, SIX, FOUR IS A NETWORK OF NIHILISTIC, VIOLENT EXTREMISTS. NO LIVES MATTER IS A MANTRA. THEY COERCE CHILDREN, SOME AS YOUNG AS TEN, TO DO VIOLENT ACTS, EITHER ...
Frontiers

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

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 ...
C&EN

A Multi-Stage Graph Neural Network–Physics-Informed Neural Network (GNN–PINN) Framework ...

Department of Chemistry and Chemical Engineering, Education and Research Center for Smart Energy and Materials, Inha University, Incheon 22212, Republic of Korea ...
IEEE

High-Speed Elevator Fault Generation and Diagnosis Method: A Scalable Model-Driven Approach ...

Abstract: Elevator faults can cause significant harm, especially in high-speed elevators. However, obtaining fault samples from in-service high-speed elevators by monitoring sensors is challenging due ...