AIMC Topic: Graph Neural Networks

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Dynamically weighted graph neural network for detection of early mild cognitive impairment.

PloS one Jun 4, 2025
Alzheimer's disease (AD) is a prevalent neurodegenerative disease that primarily affects the elderly population. The early detection of mild cognitive impairment (MCI) holds significant clinical importance for prompt intervention and treatment of AD....
Magnetic Resonance Imaging Alzheimer Disease Early Diagnosis Male Cognitive Dysfunction Nerve Net Graph Neural Networks Humans Neural Networks, Computer Algorithms Brain Female Aged
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NPI-HetGNN: A Prediction Model of ncRNA-Protein Interactions Based on Heterogeneous Graph Neural Networks.

Interdisciplinary sciences, computational life sciences Jun 2, 2025
Non-coding RNAs (ncRNAs) are one of the components of epigenetic mechanisms that regulates gene expression. Studying ncRNA-protein interactions (NPI) can help to explore a wide range of biological features and related diseases. Traditional NPI resear...
RNA, Untranslated Computational Biology Graph Neural Networks Humans Proteins Neural Networks, Computer Algorithms Deep Learning
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Hypercomplex Graph Neural Network: Towards Deep Intersection of Multi-Modal Brain Networks.

IEEE journal of biomedical and health informatics May 6, 2025
The multi-modal neuroimage study has provided insights into understanding the heteromodal relationships between brain network organization and behavioral phenotypes. Integrating data from various modalities facilitates the characterization of the int...
Humans Neural Networks, Computer Brain Magnetic Resonance Imaging Nerve Net Graph Neural Networks
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A Systematic Review of the Application of Graph Neural Networks to Extract Candidate Genes and Biological Associations.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics May 2, 2025
The development of high throughput technologies has resulted in the collection of large quantities of genomic and transcriptomic data. However, identifying disease-associated genes or networks from these data has remained an ongoing challenge. In rec...
Humans Genetic Association Studies Computational Biology Neural Networks, Computer Graph Neural Networks Gene Regulatory Networks Genetic Predisposition to Disease
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SAGN: Sparse Adaptive Gated Graph Neural Network With Graph Regularization for Identifying Dual-View Brain Networks.

IEEE transactions on neural networks and learning systems May 2, 2025
Due to the absence of a gold standard for threshold selection, brain networks constructed with inappropriate thresholds risk topological degradation or contain noise connections. Therefore, graph neural networks (GNNs) exhibit weak robustness and ove...
Emotions Nerve Net Neural Networks, Computer Humans Graph Neural Networks Algorithms Brain
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GRACE: Unveiling Gene Regulatory Networks With Causal Mechanistic Graph Neural Networks in Single-Cell RNA-Sequencing Data.

IEEE transactions on neural networks and learning systems May 2, 2025
Reconstructing gene regulatory networks (GRNs) using single-cell RNA sequencing (scRNA-seq) data holds great promise for unraveling cellular fate development and heterogeneity. While numerous machine-learning methods have been proposed to infer GRNs ...
Gene Regulatory Networks Humans Sequence Analysis, RNA Neural Networks, Computer Graph Neural Networks Algorithms Machine Learning Single-Cell Analysis
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A new strategy for Cas protein recognition based on graph neural networks and SMILES encoding.

Scientific reports Apr 30, 2025
The CRISPR-Cas system, an adaptive immune mechanism found in bacteria and archaea, has evolved into a promising genomic editing tool, with various types of Cas proteins playing a crucial role. In this study, we developed a set of strategies for minin...
Graph Neural Networks Databases, Protein CRISPR-Cas Systems CRISPR-Associated Proteins Neural Networks, Computer Computational Biology
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Leveraging advanced graph neural networks for the enhanced classification of post anesthesia states to aid surgical procedures.

PloS one Apr 25, 2025
Anesthesia plays a pivotal role in modern surgery by facilitating controlled states of unconsciousness. Precise control is crucial for safe and pain-free surgeries. Monitoring anesthesia depth accurately is essential to guide anesthesiologists, optim...
Wakefulness Humans Machine Learning Anesthesia Graph Neural Networks Neural Networks, Computer Algorithms Brain
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Unveiling fetal heart health: harnessing auto-metric graph neural networks and Hazelnut tree search for ECG-based arrhythmia detection.

Computer methods in biomechanics and biomedical engineering Apr 24, 2025
Fetal electrocardiogram (ECG) provides a non-invasive means to assess fetal heart health, but isolating the fetal signal from the dominant maternal ECG remains challenging. This study introduces the FHH-AMGNN-HTSOA-ECG-AD method for enhanced fetal ar...
Neural Networks, Computer Algorithms Pregnancy Humans Fetal Heart Graph Neural Networks Signal Processing, Computer-Assisted Arrhythmias, Cardiac Wavelet Analysis Female Electrocardiography
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Neuro-Modulation Analysis Based on Muscle Synergy Graph Neural Network in Human Locomotion.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 16, 2025
The coordination of muscles in human locomotion is commonly understood as the integration of motor modules known as muscle synergies. Recent research has delved into the adaptation of muscle synergies during the acquisition of new motor skills. Howev...
Adult Biomechanical Phenomena Humans Walking Male Neural Networks, Computer Female Locomotion Lower Extremity Young Adult Graph Neural Networks Algorithms Muscle, Skeletal Electromyography
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