NPI-RGCNAE: Fast Predicting ncRNA-Protein Interactions Using the Relational Graph Convolutional Network Auto-Encoder

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College Of Intelligence And Computing, Tianjin University, Tianjin [1 ]
300350, China
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IEEE J. Biomedical Health Informat. | 2022年 / 4卷 / 1861-1871期
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  • [1] NPI-RGCNAE: Fast Predicting ncRNA-Protein Interactions Using the Relational Graph Convolutional Network Auto-Encoder
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    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (04) : 1861 - 1871
  • [2] Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning
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    Song, Bosheng
    Liu, Yuansheng
    Li, Zejun
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    [J]. BRIEFINGS IN BIOINFORMATICS, 2022, 23 (06)
  • [3] NPI-GNN: Predicting ncRNA-protein interactions with deep graph neural networks
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    Luo, Tao
    Zhou, Yuan-Ke
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    Du, Pu-Feng
    [J]. BRIEFINGS IN BIOINFORMATICS, 2021, 22 (05)
  • [4] NPI-DCGNN: An Accurate Tool for Identifying ncRNA-Protein Interactions Using a Dual-Channel Graph Neural Network
    Zhang, Xin
    Zhao, Liangwei
    Chai, Ziyi
    Wu, Hao
    Yang, Wei
    Li, Chen
    Jiang, Yu
    Liu, Quanzhong
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2024, 31 (08) : 742 - 756
  • [5] MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism
    Zhou, Zhecheng
    Du, Zhenya
    Wei, Jinhang
    Zhuo, Linlin
    Pan, Shiyao
    Fu, Xiangzheng
    Lian, Xinze
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 163
  • [6] A model for predicting ncRNA-protein interactions based on graph neural networks and community detection
    Zhuo, Linlin
    Chen, Yifan
    Song, Bosheng
    Liu, Yuansheng
    Su, Yansen
    [J]. METHODS, 2022, 207 : 74 - 80
  • [7] Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions
    Chen, Han
    Wang, Hanchen
    Chen, Hongmei
    Zhang, Ying
    Zhang, Wenjie
    Lin, Xuemin
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36 (03) : 1016 - 1029
  • [8] HeadTailTransfer: An efficient sampling method to improve the performance of graph neural network method in predicting sparse ncRNA-protein interactions
    Wei, Jinhang
    Zhuo, Linlin
    Pan, Shiyao
    Lian, Xinze
    Yao, Xiaojun
    Fu, Xiangzheng
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 157
  • [9] Prediction of protein-protein interactions using stacked auto-encoder
    Jha, Kanchan
    Saha, Sriparna
    Tanveer, M.
    [J]. TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2022, 33 (10)
  • [10] DM-RPIs: Predicting ncRNA-protein interactions using stacked ensembling strategy
    Cheng, Shuping
    Zhang, Lu
    Tan, Jianjun
    Gong, Weikang
    Li, Chunhua
    Zhang, Xiaoyi
    [J]. COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2019, 83