Node Classification Method Based on Hierarchical Hypergraph Neural Network [PDF]
SensorsHypergraph neural networks have gained widespread attention due to their effectiveness in handling graph-structured data with complex relationships and multi-dimensional interactions.
Feng Xu +3 more
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A hypergraph neural network for prioritizing Alzheimer’s disease risk genes [PDF]
Frontiers in GeneticsIdentifying the complex genetic architecture of Alzheimer’s disease (AD) is critical for understanding its pathophysiology. While network-based computational methods assist in this task, they primarily model simple pairwise gene interactions and fail to ...
Meng Ma +6 more
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Coupling Fault Diagnosis of Bearings Based on Hypergraph Neural Network [PDF]
SensorsCoupling faults that simultaneously occur during the operation of mechanical equipment are widespread. These faults encompass a diverse range of high-order coupling relationships, involving multiple base fault types.
Shenglong Wang +6 more
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A lightweight single-view contrastive learning hypergraph neural network for food–microbe–disease association prediction [PDF]
BMC BioinformaticsBackground Identifying potential associations among food, gut microbiota and disease is fundamental for elucidating interaction mechanisms and advancing personalized healthy dietary strategies. While computational methods have been extensively applied to
Jianqiang Hu +8 more
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A hybrid compound scaling hypergraph neural network for robust cervical cancer subtype classification using whole slide cytology images [PDF]
Scientific ReportsCervical cancer is a major cause of mortality among women, particularly in low-income countries with insufficient screening programs. Manual cytological examination is time-consuming, error-prone and subject to inter-observer variability.
Pooja Govindaraj +4 more
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Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition [PDF]
EntropyEfficient flotation beneficiation heavily relies on accurate flotation condition recognition based on monitored froth video. However, the recognition accuracy is hindered by limitations of extracting temporal features from froth videos and establishing ...
Zunguan Fan +3 more
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Hyperbolic multi-channel hypergraph convolutional neural network based on multilayer hypergraph [PDF]
Scientific ReportsIn recent years, hypergraph neural networks have achieved remarkable success in tasks such as node classification, link prediction, and graph classification, thanks to their powerful computational capabilities.
Libing Bai +4 more
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Hierarchical Network Organization and Dynamic Perturbation Propagation in Autism Spectrum Disorder: An Integrative Machine Learning and Hypergraph Analysis Reveals Super-Hub Genes and Therapeutic Targets [PDF]
BiomedicinesBackground/Objectives: Autism spectrum disorder (ASD) exhibits remarkable genetic heterogeneity involving hundreds of risk genes; however, the mechanism by which these genes organize within biological networks to contribute to disease pathogenesis ...
Larissa Margareta Batrancea +3 more
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Molecular Merged Hypergraph Neural Network for Explainable Solvation Gibbs Free Energy Prediction [PDF]
ResearchSolvation free energies play a fundamental role in various fields of chemistry and biology. Accurately determining the solvation Gibbs free energy ([Formula: see text]) of a molecule in a given solvent requires a deep understanding of the intrinsic ...
Wenjie Du +8 more
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Attention-Based Hypergraph Neural Network: A Personalized Recommendation
Applied SciencesPersonalized recommendation for online learning courses stands as a critical research topic in educational technology, where algorithmic performance directly impacts learning efficiency and user experience.
Peihua Xu, Maoyuan Zhang
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