AIMC Topic: Graph Neural Networks

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MRDDA: a multi-relational graph neural network for drug-disease association prediction.

Journal of translational medicine Jul 8, 2025
BACKGROUND: Drug repositioning offers a promising avenue for accelerating drug development and reducing costs. Recently, computational repositioning approaches have gained attraction for identifying potential drug-disease associations (DDAs). Biologi...
Disease Graph Neural Networks Neural Networks, Computer Drug Repositioning Humans
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Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks.

PloS one Jul 8, 2025
PURPOSE: Machine learning is a powerful tool to develop algorithms for clinical diagnosis. However, standard machine learning algorithms are not perfectly suited for clinical data since the data are interconnected and may contain time series. As show...
Sepsis Blood Cell Count Machine Learning Humans Graph Neural Networks Neural Networks, Computer Algorithms
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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,...
Neural Networks, Computer Algorithms Humans Magnetic Resonance Imaging Nerve Net Graph Neural Networks Brain Dementia
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Robust Lightweight Graph Neural Network Framework for Accelerating Crystal Structure Prediction.

Journal of chemical information and modeling Jun 30, 2025
This work presents a crystal structure prediction framework that employs a structural search using a derivative-free optimization method, with a supervised Graph Neural Network (GNN) model as the energy evaluator. We address the limitations of existi...
Bayes Theorem Crystallography, X-Ray Graph Neural Networks Neural Networks, Computer Models, Molecular
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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...
Graph Neural Networks Humans Neural Networks, Computer Algorithms
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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...
Graph Neural Networks Neural Networks, Computer Drug Repositioning Humans
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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....
Graph Neural Networks Humans Cognitive Dysfunction Aged Magnetic Resonance Imaging Neural Networks, Computer Early Diagnosis Male Alzheimer Disease Brain Algorithms Nerve Net Female
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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...
Nerve Net Brain Humans Graph Neural Networks Magnetic Resonance Imaging Neural Networks, Computer
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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 Algorithms Brain Humans Graph Neural Networks Neural Networks, Computer
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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 Neural Networks, Computer Gene Regulatory Networks Machine Learning Sequence Analysis, RNA Humans Algorithms Single-Cell Analysis
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