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Predicting Disease-Metabolite Associations Based on the Metapath Aggregation of Tripartite Heterogeneous Networks

Interdisciplinary sciences : computational life sciences, 2024-12, Vol.16 (4), p.829-843

2024

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Vertex centrality of complex networks based on joint nonnegative matrix factorization and graph embedding

Chinese physics B, 2023-01, Vol.32 (1), p.18903-725

2023

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Essential proteins identification method based on four-order distances and subcellular localization information

Chinese physics B, 2023-12, Vol.33 (1), p.18903-860

2023

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AG-GATCN: A novel method for predicting essential proteins

Chinese physics B, 2023-05, Vol.32 (5), p.58902-838

2023

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Biased random walk with restart for essential proteins prediction

Chinese physics B, 2022-10, Vol.31 (11), p.118901-734

2022

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Symmetric Nonnegative Matrix Factorization for Vertex Centrality in Complex Networks

Shanghai jiao tong da xue xue bao, 2024, Vol.29 (6), p.1037-1049

2024

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Novel Scheme for Essential Proteins Identification Based on Improved Multicriteria Decision Making

Shanghai jiao tong da xue xue bao, 2023-08, Vol.28 (4), p.418-431

2023

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Two New Methods for Identifying Essential Proteins Based on the Protein Complexes and Topological Properties

IEEE access, 2020, Vol.8, p.9578-9586

2020

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Identifying influential spreaders in social networks: A two-stage quantum-behaved particle swarm optimization with Lévy flight

Chinese physics B, 2023-12, Vol.33 (1), p.18901-840

2023

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A Novel Method Based on Node’s Correlation to Evaluate Important Nodes in Complex Networks

Shanghai jiao tong da xue xue bao, 2022-10, Vol.27 (5), p.688-698

2022

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Detecting communities in complex networks using triangles and modularity density

Physica A, 2023-03, Vol.613, p.128504, Article 128504

2023

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Combining transformer-based model and GCN to predict ICD codes from clinical records

Knowledge-based systems, 2023-12, Vol.282, p.111113, Article 111113

2023

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DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations

Computational biology and chemistry, 2024-12, Vol.113, p.108201, Article 108201

2024

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ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins

Computational biology and chemistry, 2024-10, Vol.112, p.108115, Article 108115

2024

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RDGAN: Prediction of circRNA-Disease Associations via Resistance Distance and Graph Attention Network

IEEE/ACM transactions on computational biology and bioinformatics, 2024-09, Vol.21 (5), p.1445-1457

2024

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GEHGAN: CircRNA–disease association prediction via graph embedding and heterogeneous graph attention network

Computational biology and chemistry, 2024-06, Vol.110, p.108079-108079, Article 108079

2024

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AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network

Computational biology and chemistry, 2024-06, Vol.110, p.108085-108085, Article 108085

2024

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MGDHGS: Gene-bridged metabolite-disease relationships prediction via GraphSAGE and self-attention mechanism

Computational biology and chemistry, 2024-04, Vol.109, p.108036-108036, Article 108036

2024

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Critical nodes identification in complex networks via similarity coefficient

Modern physics letters. B, Condensed matter physics, statistical physics, applied physics, 2022-03, Vol.36 (9)

2022

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Identifying vital nodes in complex networks based on information entropy, minimum dominating set and distance

International journal of modern physics. B, Condensed matter physics, statistical physics, applied physics, 2021-02, Vol.35 (5), p.2150071

2021

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Generalized Characteristic Polynomials of Join Graphs and Their Applications

Discrete dynamics in nature and society, 2017-01, Vol.2017 (2017), p.1-10

2017

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Spectra of subdivision-vertex and subdivision-edge neighbourhood coronae

Linear algebra and its applications, 2013-04, Vol.438 (8), p.3547-3559

2013

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Identifying circRNA-disease association based on relational graph attention network and hypergraph attention network

Analytical biochemistry, 2024-11, Vol.694, p.115628, Article 115628

2024

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Predicting CircRNA-Disease Associations via Non-Negative Matrix Factorization Fused with Multiple Similarity Networks

Shanghai jiao tong da xue xue bao, 2024-07

2024

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Predicting associations between CircRNA and diseases through structure-aware graph transformer and path-integral convolution

Analytical biochemistry, 2024-09, Vol.692, p.115554, Article 115554

2024

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Predicting Disease-Metabolite Associations Based on the Metapath Aggregation of Tripartite Heterogeneous Networks

Vertex centrality of complex networks based on joint nonnegative matrix factorization and graph embedding

Essential proteins identification method based on four-order distances and subcellular localization information

AG-GATCN: A novel method for predicting essential proteins

Biased random walk with restart for essential proteins prediction

Symmetric Nonnegative Matrix Factorization for Vertex Centrality in Complex Networks

Novel Scheme for Essential Proteins Identification Based on Improved Multicriteria Decision Making

Two New Methods for Identifying Essential Proteins Based on the Protein Complexes and Topological Properties

Identifying influential spreaders in social networks: A two-stage quantum-behaved particle swarm optimization with Lévy flight

A Novel Method Based on Node’s Correlation to Evaluate Important Nodes in Complex Networks

Detecting communities in complex networks using triangles and modularity density

Combining transformer-based model and GCN to predict ICD codes from clinical records

DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations

ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins

RDGAN: Prediction of circRNA-Disease Associations via Resistance Distance and Graph Attention Network

GEHGAN: CircRNA–disease association prediction via graph embedding and heterogeneous graph attention network

AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network

MGDHGS: Gene-bridged metabolite-disease relationships prediction via GraphSAGE and self-attention mechanism

Critical nodes identification in complex networks via similarity coefficient

Identifying vital nodes in complex networks based on information entropy, minimum dominating set and distance

Generalized Characteristic Polynomials of Join Graphs and Their Applications

Spectra of subdivision-vertex and subdivision-edge neighbourhood coronae

Identifying circRNA-disease association based on relational graph attention network and hypergraph attention network

Predicting CircRNA-Disease Associations via Non-Negative Matrix Factorization Fused with Multiple Similarity Networks

Predicting associations between CircRNA and diseases through structure-aware graph transformer and path-integral convolution

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