Výsledky vyhledávání - Variation Graph Autoencoder (VGAE)

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  1. 1

    Optimization of Graph Convolutional Networks with Variational Graph Autoencoder Architecture for 3D Face Reconstruction Task Autor Batarfi, Mahfoudh M., Mareboyana, Manohar

    ISSN: 2768-0754
    Vydáno: IEEE 08.05.2024
    “… To surmount these obstacles, the study embarks on the optimization of a Variational Graph Autoencoder (VGAE…”
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    Konferenční příspěvek
  2. 2

    CVAM: CNA Profile Inference of the Spatial Transcriptome Based on the VGAE and HMM Autor Ma, Jian, Guo, Jingjing, Fan, Zhiwei, Zhao, Weiling, Zhou, Xiaobo

    ISSN: 2218-273X, 2218-273X
    Vydáno: Switzerland MDPI AG 28.04.2023
    Vydáno v Biomolecules (Basel, Switzerland) (28.04.2023)
    “… With the development of spatial transcriptome technologies, it is urgent to develop new tools to identify genomic variation from the spatial transcriptome…”
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    Journal Article
  3. 3

    Self-Supervised Variational Graph Autoencoder for System-Level Anomaly Detection Autor Zhang, Le, Cheng, Wei, Xing, Ji, Chen, Xuefeng, Nie, Zelin, Zhang, Shuo, Hong, Junying, Xu, Zhao

    ISSN: 0018-9456, 1557-9662
    Vydáno: New York IEEE 2023
    “… However, most industrial scenarios are without graphs. Hence, a self-supervised variational graph autoencoders (SS-VGAE) method is proposed…”
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    Journal Article
  4. 4

    Enhancing the Performance of VGAE Architectures for Reconstruction High-Quality 3D Faces Autor Batarfi, Mahfoudh M

    ISBN: 9798382319131
    Vydáno: ProQuest Dissertations & Theses 01.01.2024
    “…This research investigates methods to enhance the performance of Variational Graph Autoencoder (VGAE…”
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    Dissertation
  5. 5

    DCMF-PPI: a protein-protein interaction predictor based on dynamic condition and multi-feature fusion Autor Chen, Siqi, Zheng, Anhong, Yu, Weichi, Zhan, Chao

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 15.10.2025
    Vydáno v BMC bioinformatics (15.10.2025)
    “… Nevertheless, these approaches frequently overlook the dynamic nature of protein and PPI structures during cellular processes, including conformational alterations and variations in binding…”
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    Journal Article
  6. 6

    Hierarchical Graph Neural Network Based on Semi-Implicit Variational Inference Autor Su, Hai-Long, Li, Zhi-Peng, Zhu, Xiao-Bo, Yang, Li-Na, Gribova, Valeriya, Filaretov, Vladimir Fedorovich, Cohn, Anthony G., Huang, De-Shuang

    ISSN: 2379-8920, 2379-8939
    Vydáno: Piscataway IEEE 01.06.2023
    “… Recently, variational graph autoencoder (VGAE) has been proposed to solve this problem. However, the distributional assumptions in the variational family restrict the variational inference (VI…”
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    Journal Article