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HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks

Briefings in bioinformatics, 2022-01, Vol.23 (1)

2022

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β‐Adrenoceptor activation affects galectin‐3 as a biomarker and therapeutic target in heart disease

British journal of pharmacology, 2019-07, Vol.176 (14), p.2449-2464

2019

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NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction

IEEE journal of biomedical and health informatics, 2022-10, Vol.26 (10), p.5075-5084

2022

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Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks

BMC bioinformatics, 2023-11, Vol.24 (1), p.1-451, Article 451

2023

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Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction

BMC bioinformatics, 2022-06, Vol.23 (1), p.234-234, Article 234

2022

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Stimulation of β‐adrenoceptors up‐regulates cardiac expression of galectin‐3 and BIM through the Hippo signalling pathway

British journal of pharmacology, 2019-07, Vol.176 (14), p.2465-2481

2019

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Mechanisms responsible for increased circulating levels of galectin-3 in cardiomyopathy and heart failure

Scientific reports, 2018-05, Vol.8 (1), p.8213-12, Article 8213

2018

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A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning

Cancers, 2021-04, Vol.13 (9), p.2111

2021

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A novel circRNA-miRNA association prediction model based on structural deep neural network embedding

Briefings in bioinformatics, 2022-09, Vol.23 (5)

2022

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iGRLCDA: identifying circRNA–disease association based on graph representation learning

Briefings in bioinformatics, 2022-05, Vol.23 (3)

2022

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Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network

IEEE journal of biomedical and health informatics, 2024-07, Vol.28 (7), p.4281-4294

2024

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Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning

IEEE transactions on emerging topics in computing, 2024-01, Vol.12 (1), p.163-176

2024

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RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction

BMC bioinformatics, 2022-12, Vol.23 (1), p.516-16, Article 516

2022

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HMGB1 Induces Secretion of Matrix Vesicles by Macrophages to Enhance Ectopic Mineralization

PloS one, 2016-05, Vol.11 (5), p.e0156686-e0156686

2016

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Relaxin mitigates microvascular damage and inflammation following cardiac ischemia–reperfusion

Basic research in cardiology, 2019-07, Vol.114 (4), p.30-15, Article 30

2019

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MGRL: Predicting Drug-Disease Associations Based on Multi-Graph Representation Learning

Frontiers in genetics, 2021-04, Vol.12, p.657182-657182

2021

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Biolinguistic graph fusion model for circRNA–miRNA association prediction

Briefings in bioinformatics, 2024-01, Vol.25 (2)

2024

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Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA–miRNA associations

Briefings in bioinformatics, 2024-01, Vol.25 (2)

2024

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Association between heart rate variability indices and features of spontaneous ventricular tachyarrhythmias in mice

Clinical and experimental pharmacology & physiology, 2020-07, Vol.47 (7), p.1193-1202

2020

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GraphCPIs: A novel graph-based computational model for potential compound-protein interactions

Molecular therapy. Nucleic acids, 2023-06, Vol.32, p.721-728

2023

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iGRLDTI: an improved graph representation learning method for predicting drug–target interactions over heterogeneous biological information network

Bioinformatics (Oxford, England), 2023-08, Vol.39 (8)

2023

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Geological characteristics and exploration potential of the coal measure gas from Shan 2 of the Shanxi formation in the eastern Ordos Basin

Frontiers in earth science (Lausanne), 2023-03, Vol.11

2023

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A geometric deep learning framework for drug repositioning over heterogeneous information networks

Briefings in bioinformatics, 2022-11, Vol.23 (6)

2022

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A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks

Applied soft computing, 2024-05, Vol.157, p.111523, Article 111523

2024

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Drug-disease association prediction using semantic graph and function similarity representation learning over heterogeneous information networks

Methods (San Diego, Calif.), 2023-12, Vol.220, p.106-114

2023

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HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks

β‐Adrenoceptor activation affects galectin‐3 as a biomarker and therapeutic target in heart disease

NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction

Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks

Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction

Stimulation of β‐adrenoceptors up‐regulates cardiac expression of galectin‐3 and BIM through the Hippo signalling pathway

Mechanisms responsible for increased circulating levels of galectin-3 in cardiomyopathy and heart failure

A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning

A novel circRNA-miRNA association prediction model based on structural deep neural network embedding

iGRLCDA: identifying circRNA–disease association based on graph representation learning

Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network

Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning

RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction

HMGB1 Induces Secretion of Matrix Vesicles by Macrophages to Enhance Ectopic Mineralization

Relaxin mitigates microvascular damage and inflammation following cardiac ischemia–reperfusion

MGRL: Predicting Drug-Disease Associations Based on Multi-Graph Representation Learning

Biolinguistic graph fusion model for circRNA–miRNA association prediction

Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA–miRNA associations

Association between heart rate variability indices and features of spontaneous ventricular tachyarrhythmias in mice

GraphCPIs: A novel graph-based computational model for potential compound-protein interactions

iGRLDTI: an improved graph representation learning method for predicting drug–target interactions over heterogeneous biological information network

Geological characteristics and exploration potential of the coal measure gas from Shan 2 of the Shanxi formation in the eastern Ordos Basin

A geometric deep learning framework for drug repositioning over heterogeneous information networks

A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks

Drug-disease association prediction using semantic graph and function similarity representation learning over heterogeneous information networks

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