Identification of Young High-Functioning Autism Individuals Based on Functional Connectome Using Graph Isomorphism Network: A Pilot Study [PDF]
Brain Sciences, 2022 Accumulated studies have determined the changes in functional connectivity in autism spectrum disorder (ASD) and spurred the application of machine learning for classifying ASD.
Sihong Yang, Dezhi Jin, Jun Liu, Ye He
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Convolutional Graph Isomorphism Network to Detect Glaucomatous Visual Field Defects [PDF]
Ophthalmology SciencePurpose: To evaluate the performance of a deep learning (DL) model based on graph isomorphism networks (GINs) for detecting glaucomatous visual field defects on 24-2 standard automated perimetry (SAP) and to compare it against traditional diagnostic ...
Douglas R. da Costa, MD +5 more
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R2eGIN: Residual Reconstruction Enhanced Graph Isomorphism Network for Accurate Prediction of Poly (ADP–Ribose) Polymerase Inhibitors [PDF]
Bioinformatics and Biology InsightsAn advanced graph neural network (GNN) is of great promise to facilitate predicting Poly ADPribose polymerase inhibitors (PARPi). Recent studies design models by leveraging graph representations and molecular descriptor representations, unfortunately ...
Candra Zonyfar +3 more
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Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction [PDF]
IEEE Access, 2020 The evaluation of absorption, distribution, metabolism, exclusion, and toxicity (ADMET) properties plays a key role in a variety of domains including industrial chemicals, agrochemicals, cosmetics, environmental science, food chemistry, and particularly ...
Yuzhong Peng +5 more
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Explainable Multimodal Graph Isomorphism Network for Interpreting Sex Differences in Adolescent Neurodevelopment [PDF]
Applied SciencesBackground: A fundamental grasp of the variability observed in healthy individuals holds paramount importance in the investigation of neuropsychiatric conditions characterized by sex-related phenotypic distinctions. Functional magnetic resonance imaging (
Binish Patel +7 more
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An Improved Graph Isomorphism Network for Accurate Prediction of Drug–Drug Interactions
Mathematics, 2023 Drug–drug interaction (DDI) prediction is one of the essential tasks in drug development to ensure public health and patient safety. Drug combinations with potentially severe DDIs have been verified to threaten the safety of patients critically, and it ...
Sile Wang +5 more
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MathematicsIn recent years, with the rapid development of the Internet of Things, large-scale botnet attacks have occurred frequently and have become an important challenge to network security.
Lihua Yin +3 more
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Kinome-wide polypharmacology profiling of small molecules by multi-task graph isomorphism network approach [PDF]
Acta Pharmaceutica Sinica B, 2023 Prediction of the interactions between small molecules and their targets play important roles in various applications of drug development, such as lead discovery, drug repurposing and elucidation of potential drug side effects.
Lingjie Bao +7 more
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Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis [PDF]
Frontiers in Neuroscience, 2020 Graph neural networks (GNN) rely on graph operations that include neural network training for various graph related tasks. Recently, several attempts have been made to apply the GNNs to functional magnetic resonance image (fMRI) data.
Byung-Hoon Kim, Jong Chul Ye
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Dynamic Multi-Task Graph Isomorphism Network for Classification of Alzheimer’s Disease
Applied Sciences, 2023 Alzheimer’s disease (AD) is a progressive, irreversible neurodegenerative disorder that requires early diagnosis for timely treatment. Functional magnetic resonance imaging (fMRI) is a non-invasive neuroimaging technique for detecting brain activity.
Zhiqiong Wang +6 more
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