AIMC Topic: Graph Neural Networks

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A dual path graph neural network framework for dementia diagnosis.

Scientific reports Jul 2, 2025
Dementia typically results from damage to neural pathways and the consequent degeneration of neuronal connections. Graph neural networks (GNNs) have been widely employed to model complex brain networks. However, leveraging the complementary temporal,...
Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging Brain Nerve Net Dementia Graph Neural Networks
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A framework for detecting and predicting highway traffic anomalies via multimodal fusion and heterogeneous graph neural networks.

PloS one Jun 25, 2025
This paper presents a novel framework for detecting and predicting abnormal traffic events on highways. Current traffic monitoring systems often rely on single data sources, which limits their detection accuracy and robustness in complex environments...
Algorithms Graph Neural Networks Humans Neural Networks, Computer
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MTGNN: A Drug-Target-Disease Triplet Association Prediction Model Based on Multimodal Heterogeneous Graph Neural Networks and Direction-Aware Metapaths.

Journal of chemical information and modeling Jun 5, 2025
The forecasting of drug-target interactions (DTIs) is a crucial element in the domain of drug repositioning. Current methodologies, primarily based on dual-branch architectures or graph neural networks (GNNs), typically model binary associations─spec...
Neural Networks, Computer Drug Repositioning Humans 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....
Neural Networks, Computer Algorithms Brain Humans Male Cognitive Dysfunction Magnetic Resonance Imaging Female Aged Nerve Net Graph Neural Networks Alzheimer Disease Early Diagnosis
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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 Nerve Net Magnetic Resonance Imaging Neural Networks, Computer Graph Neural Networks Brain
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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...
Nerve Net Graph Neural Networks Humans Neural Networks, Computer Brain Emotions Algorithms
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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 ...
Graph Neural Networks Machine Learning Algorithms Gene Regulatory Networks Sequence Analysis, RNA Single-Cell Analysis Humans Neural Networks, Computer
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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...
Databases, Protein CRISPR-Cas Systems Neural Networks, Computer Graph Neural Networks Computational Biology CRISPR-Associated Proteins
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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...
Brain Wakefulness Machine Learning Humans Graph Neural Networks Algorithms Neural Networks, Computer Anesthesia
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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...
Graph Neural Networks Female Young Adult Walking Adult Humans Locomotion Neural Networks, Computer Lower Extremity Biomechanical Phenomena Muscle, Skeletal Algorithms Male Electromyography
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