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Effects of CeO2 on microstructure and properties of TiC/Ti2Ni reinforced Ti-based laser cladding composite coatings

Optics and lasers in engineering, 2019-09, Vol.120, p.84-94

2019

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Research and progress of laser cladding on engineering alloys: A review

Journal of manufacturing processes, 2021-06, Vol.66, p.341-363

2021

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Drug repositioning through integration of prior knowledge and projections of drugs and diseases

Bioinformatics, 2019-10, Vol.35 (20), p.4108-4119

2019

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Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions

BMC bioinformatics, 2020-06, Vol.21 (1), p.1-230, Article 230

2020

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Dual Convolutional Neural Networks With Attention Mechanisms Based Method for Predicting Disease-Related lncRNA Genes

Frontiers in genetics, 2019-05, Vol.10, p.416-416

2019

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Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations

Cells (Basel, Switzerland), 2019-08, Vol.8 (9), p.1012

2019

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Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks

International journal of molecular sciences, 2019-07, Vol.20 (15), p.3648

2019

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CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations

International journal of molecular sciences, 2019-08, Vol.20 (17), p.4260

2019

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Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs

International journal of molecular sciences, 2018-11, Vol.19 (12), p.3732

2018

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Learning Multi-Types of Neighbor Node Attributes and Semantics by Heterogeneous Graph Transformer and Multi-View Attention for Drug-Related Side-Effect Prediction

Molecules (Basel, Switzerland), 2023-09, Vol.28 (18), p.6544

2023

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Integration of Neighbor Topologies Based on Meta-Paths and Node Attributes for Predicting Drug-Related Diseases

International journal of molecular sciences, 2022-03, Vol.23 (7), p.3870

2022

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LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs

International journal of molecular sciences, 2019-09, Vol.20 (18), p.4458

2019

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Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects

Frontiers in pharmacology, 2023-09, Vol.14, p.1257842-1257842

2023

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Optimization of porosity and surface roughness of CMT-P wire arc additive manufacturing of AA2024 using response surface methodology and NSGA-

Journal of materials research and technology, 2023-05, Vol.24, p.6923-6941

2023

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Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting Edges

Molecules (Basel, Switzerland), 2019-08, Vol.24 (17), p.3099

2019

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Prediction of Potential Drug-Disease Associations through Deep Integration of Diversity and Projections of Various Drug Features

International journal of molecular sciences, 2019-08, Vol.20 (17), p.4102

2019

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Inferring Drug-Related Diseases Based on Convolutional Neural Network and Gated Recurrent Unit

Molecules (Basel, Switzerland), 2019-07, Vol.24 (15), p.2712

2019

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HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule

Frontiers in pharmacology, 2019-11, Vol.10, p.1301-1301

2019

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Convolutional Neural Network and Bidirectional Long Short-Term Memory-Based Method for Predicting Drug-Disease Associations

Cells (Basel, Switzerland), 2019-07, Vol.8 (7), p.705

2019

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Microstructure and Properties of Nano-Ti3Al Laser Cladding Layer Prepared on Ti811 Alloy Surface

Zhōngguó jīguāng, 2018-01, Vol.45 (1), p.102002

2018

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Complementary feature learning across multiple heterogeneous networks and multimodal attribute learning for predicting disease-related miRNAs

iScience, 2024-02, Vol.27 (2), p.108639-108639, Article 108639

2024

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Graph reasoning method enhanced by relational transformers and knowledge distillation for drug-related side effect prediction

iScience, 2024-06, Vol.27 (6), p.109571-109571, Article 109571

2024

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Multi-Objective Optimization for Forming Quality of Laser and CMT-P Arc Hybrid Additive Manufacturing Aluminum Alloy Using Response Surface Methodology

Actuators, 2024-01, Vol.13 (1), p.23

2024

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Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological Information

Genes, 2019-09, Vol.10 (9), p.685

2019

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Numerical Simulation of Temperature Field and Stress Field of Ni-Based Laser Cladding Layer on TC4 Surface

Ji guang yu guang dian zi jin zhan, 2021-02, Vol.58 (3), p.314003-314003220

2021

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Effects of CeO2 on microstructure and properties of TiC/Ti2Ni reinforced Ti-based laser cladding composite coatings

Research and progress of laser cladding on engineering alloys: A review

Drug repositioning through integration of prior knowledge and projections of drugs and diseases

Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions

Dual Convolutional Neural Networks With Attention Mechanisms Based Method for Predicting Disease-Related lncRNA Genes

Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations

Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks

CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations

Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs

Learning Multi-Types of Neighbor Node Attributes and Semantics by Heterogeneous Graph Transformer and Multi-View Attention for Drug-Related Side-Effect Prediction

Integration of Neighbor Topologies Based on Meta-Paths and Node Attributes for Predicting Drug-Related Diseases

LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs

Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects

Optimization of porosity and surface roughness of CMT-P wire arc additive manufacturing of AA2024 using response surface methodology and NSGA-

Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting Edges

Prediction of Potential Drug-Disease Associations through Deep Integration of Diversity and Projections of Various Drug Features

Inferring Drug-Related Diseases Based on Convolutional Neural Network and Gated Recurrent Unit

HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule

Convolutional Neural Network and Bidirectional Long Short-Term Memory-Based Method for Predicting Drug-Disease Associations

Microstructure and Properties of Nano-Ti3Al Laser Cladding Layer Prepared on Ti811 Alloy Surface

Complementary feature learning across multiple heterogeneous networks and multimodal attribute learning for predicting disease-related miRNAs

Graph reasoning method enhanced by relational transformers and knowledge distillation for drug-related side effect prediction

Multi-Objective Optimization for Forming Quality of Laser and CMT-P Arc Hybrid Additive Manufacturing Aluminum Alloy Using Response Surface Methodology

Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological Information

Numerical Simulation of Temperature Field and Stress Field of Ni-Based Laser Cladding Layer on TC4 Surface

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