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

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

Aberrant expressions of long non-coding RNAs (lncRNAs) are often associated with diseases and identification of disease-related lncRNAs is helpful for elucidating complex pathogenesis. Recent methods for predicting associations between lncRNAs and diseases integrate their pertinent heterogeneous dat...

Bibliográfalaš dieđut
Váldodahkkit:	Ping Xuan, Shuxiang Pan, Tiangang Zhang, Yong Liu, Hao Sun
Materiálatiipa:	Artihkal
Giella:	English
Almmustuhtton:	MDPI AG 2019-08-01
Ráidu:	Cells
Fáttát:	graph convolutional network convolutional neural network lncRNA-disease association prediction attention mechanism at node feature level
Liŋkkat:	https://www.mdpi.com/2073-4409/8/9/1012

Geahča maid

Prediction of lncRNA and disease associations based on residual graph convolutional networks with attention mechanism
Dahkki: Shengchang Wang, et al.
Almmustuhtton: (2024-03-01)

GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations
Dahkki: Dengju Yao, et al.
Almmustuhtton: (2024-01-01)

HRGCNLDA: Forecasting of lncRNA-disease association based on hierarchical refinement graph convolutional neural network
Dahkki: Li Peng, et al.
Almmustuhtton: (2024-02-01)

Predict lncRNA-drug associations based on graph neural network
Dahkki: Peng Xu, et al.
Almmustuhtton: (2024-04-01)

Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks
Dahkki: Dengju Yao, et al.
Almmustuhtton: (2024-01-01)

LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks
Dahkki: Bing Zhang, et al.
Almmustuhtton: (2024-10-01)

Graph Convolutional Networks Guided by Explicitly Estimated Homophily and Heterophily Degree
Dahkki: Rui Zhang, et al.
Almmustuhtton: (2022-10-01)

Microbe-drug association prediction model based on graph convolution and attention networks
Dahkki: Bo Wang, et al.
Almmustuhtton: (2024-09-01)

LncRNA Expression Profile-Based Matrix Factorization for Predicting lncRNA- Disease Association
Dahkki: Jihwan Ha
Almmustuhtton: (2024-01-01)

Phishing Node Detection in Ethereum Transaction Network Using Graph Convolutional Networks
Dahkki: Zhen Zhang, et al.
Almmustuhtton: (2023-05-01)

Graph Convolutional Network Design for Node Classification Accuracy Improvement
Dahkki: Mohammad Abrar Shakil Sejan, et al.
Almmustuhtton: (2023-08-01)

Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction
Dahkki: Guanghui Li, et al.
Almmustuhtton: (2024-01-01)

Prediction of circRNA-Disease Associations Based on the Combination of Multi-Head Graph Attention Network and Graph Convolutional Network
Dahkki: Ruifen Cao, et al.
Almmustuhtton: (2022-07-01)

An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification
Dahkki: Zijia Zhang, et al.
Almmustuhtton: (2023-12-01)

Association filtering and generative adversarial networks for predicting lncRNA-associated disease
Dahkki: Hua Zhong, et al.
Almmustuhtton: (2023-06-01)

Adaptive Propagation Graph Convolutional Networks Based on Attention Mechanism
Dahkki: Chenfang Zhang, et al.
Almmustuhtton: (2022-09-01)

Detecting health misinformation: A comparative analysis of machine learning and graph convolutional networks in classification tasks
Dahkki: Bharti Khemani, et al.
Almmustuhtton: (2024-06-01)

LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization
Dahkki: Yue Liu, et al.
Almmustuhtton: (2023-01-01)

Finding potential lncRNA–disease associations using a boosting-based ensemble learning model
Dahkki: Liqian Zhou, et al.
Almmustuhtton: (2024-03-01)

Editorial: lncRNA in plants: function, mechanisms and applications
Dahkki: Jun Cui
Almmustuhtton: (2023-06-01)

Batch virtual adversarial training for graph convolutional networks
Dahkki: Zhijie Deng, et al.
Almmustuhtton: (2023-01-01)

Expression profiling of circulating lncRNA GIAT4RA, lncRNA AATBC, lncRNA Sirt1-AS, and SMARCB1 in lung cancer patients
Dahkki: Neveen A. Hussein, et al.
Almmustuhtton: (2024-09-01)

Pyramid Cascaded Convolutional Neural Network with Graph Convolution for Hyperspectral Image Classification
Dahkki: Haizhu Pan, et al.
Almmustuhtton: (2024-08-01)

Applying negative sample denoising and multi-view feature for lncRNA-disease association prediction
Dahkki: Dengju Yao, et al.
Almmustuhtton: (2024-01-01)

Spatiotemporal attention aided graph convolution networks for dynamic spectrum prediction
Dahkki: Yue Li, et al.
Almmustuhtton: (2024-08-01)

An Attention-Guided Spatiotemporal Graph Convolutional Network for Sleep Stage Classification
Dahkki: Menglei Li, et al.
Almmustuhtton: (2022-04-01)

ETGPDA: identification of piRNA-disease associations based on embedding transformation graph convolutional network
Dahkki: Xianghan Meng, et al.
Almmustuhtton: (2023-05-01)

SFFNet: Staged Feature Fusion Network of Connecting Convolutional Neural Networks and Graph Convolutional Neural Networks for Hyperspectral Image Classification
Dahkki: Hao Li, et al.
Almmustuhtton: (2024-03-01)

Research on Virus Morphology Recognition Method Based on Enhanced Graph Convolutional Network
Dahkki: Yan HA, Weicheng YUAN, Xiangjie MENG, Junfeng TIAN
Almmustuhtton: (2022-05-01)

Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition
Dahkki: Di Liu, et al.
Almmustuhtton: (2021-10-01)

KGGCN: Knowledge-Guided Graph Convolutional Networks for Distantly Supervised Relation Extraction
Dahkki: Ningyi Mao, et al.
Almmustuhtton: (2021-08-01)

Identification of pivotal lncRNAs in papillary thyroid cancer using lncRNA–mRNA–miRNA ceRNA network analysis
Dahkki: Weiwei Liang, et al.
Almmustuhtton: (2019-09-01)

Poisson kernel: avoiding self-smoothing in graph convolutional networks
Dahkki: Yang, Ziqing, et al.
Almmustuhtton: (2022)

Deep Graph-Convolutional Generative Adversarial Network for Semi-Supervised Learning on Graphs
Dahkki: Nan Jia, et al.
Almmustuhtton: (2023-06-01)

Multimodal Interaction and Fused Graph Convolution Network for Sentiment Classification of Online Reviews
Dahkki: Dehong Zeng, et al.
Almmustuhtton: (2023-05-01)

A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder
Dahkki: Lizhen Shao, et al.
Almmustuhtton: (2023-09-01)

Hyperspectral Image Classification Based on Fusion of Convolutional Neural Network and Graph Network
Dahkki: Luyao Gao, et al.
Almmustuhtton: (2023-06-01)

Multimodal EEG Emotion Recognition Based on the Attention Recurrent Graph Convolutional Network
Dahkki: Jingxia Chen, et al.
Almmustuhtton: (2022-11-01)

A comprehensive review of graph convolutional networks: approaches and applications
Dahkki: Xinzheng Xu, et al.
Almmustuhtton: (2023-05-01)

Prediction of lncRNA functions using deep neural networks based on multiple networks
Dahkki: Lei Deng, et al.
Almmustuhtton: (2023-11-01)