Výsledky vyhledávání - "Variational Graph Autoencoder"

  1. 1

    Identification of microbe–disease signed associations via multi-scale variational graph autoencoder based on signed message propagation Autor Zhu, Huan, Hao, Hongxia, Yu, Liang

    ISSN: 1741-7007, 1741-7007
    Vydáno: London BioMed Central 15.08.2024
    Vydáno v BMC biology (15.08.2024)
    “…Background Plenty of clinical and biomedical research has unequivocally highlighted the tremendous significance of the human microbiome in relation to human…”
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  2. 2

    Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance Autor Zhu, Huan, Hao, Hongxia, Yu, Liang

    ISSN: 1741-7007, 1741-7007
    Vydáno: London BioMed Central 20.12.2023
    Vydáno v BMC biology (20.12.2023)
    “… Results In this work, we proposed a novel framework, Multi-scale Variational Graph AutoEncoder embedding Wasserstein distance (MVGAEW…”
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  3. 3

    VGAE-CCI: variational graph autoencoder-based construction of 3D spatial cell–cell communication network Autor Zhang, Tianjiao, Zhang, Xiang, Wu, Zhenao, Ren, Jixiang, Zhao, Zhongqian, Zhang, Hongfei, Wang, Guohua, Wang, Tao

    ISSN: 1467-5463, 1477-4054, 1477-4054
    Vydáno: England Oxford University Press 22.11.2024
    Vydáno v Briefings in bioinformatics (22.11.2024)
    “…Abstract Cell–cell communication plays a critical role in maintaining normal biological functions, regulating development and differentiation, and controlling…”
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  4. 4

    Importance weighted variational graph autoencoder Autor Tao, Yuhao, Guo, Lin, Zhao, Shuchang, Zhang, Shiqing

    ISSN: 2199-4536, 2198-6053
    Vydáno: Cham Springer International Publishing 02.12.2025
    Vydáno v Complex & intelligent systems (02.12.2025)
    “…Variational Graph Autoencoder (VGAE) is a widely explored model for learning the distribution of graph data…”
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  5. 5

    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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    Epitomic Variational Graph Autoencoder Autor Khan, Rayyan Ahmad, Anwaar, Muhammad Umer, Kleinsteuber, Martin

    Vydáno: IEEE 10.01.2021
    “… As variational graph autoencoder (VGAE) extends VAE for graph-structured data, it inherits the over-pruning problem…”
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  7. 7

    Gene knockout inference with variational graph autoencoder learning single-cell gene regulatory networks Autor Yang, Yongjian, Li, Guanxun, Zhong, Yan, Xu, Qian, Chen, Bo-Jia, Lin, Yu-Te, Chapkin, Robert S, Cai, James J

    ISSN: 0305-1048, 1362-4962, 1362-4962
    Vydáno: England Oxford University Press 21.07.2023
    Vydáno v Nucleic acids research (21.07.2023)
    “… and scalable framework for gene function studies. To achieve this goal, GenKI adapts a variational graph autoencoder (VGAE…”
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  8. 8

    Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder Autor Luo, Xin, Wang, Liwei, Hu, Pengwei, Hu, Lun

    ISSN: 1545-5963, 1557-9964, 1557-9964
    Vydáno: United States IEEE 01.09.2023
    “… To overcome this problem, a novel PPI prediction algorithm, namely PASNVGA, is proposed in this work by combining the sequence and network information of proteins via variational graph autoencoder…”
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  9. 9

    Variational graph autoencoder-driven balancing strategy for multimodal multi-objective optimization Autor Yang, Lei, Zhang, Erlei, Dang, Qianlong

    ISSN: 0020-0255
    Vydáno: Elsevier Inc 01.09.2025
    Vydáno v Information sciences (01.09.2025)
    “… Therefore, this paper proposes a multimodal multi-objective evolutionary algorithm driven by variational graph autoencoder (VGAE…”
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  10. 10

    MAVGAE: a multimodal framework for predicting asymmetric drug-drug interactions based on variational graph autoencoder Autor Deng, Zengqian, Xu, Jie, Feng, Yinfei, Dong, Liangcheng, Zhang, Yuanyuan

    ISSN: 1025-5842, 1476-8259, 1476-8259
    Vydáno: England Taylor & Francis 19.05.2025
    “…Drug-drug interactions refer to the phenomena wherein the potency, duration, or effectiveness of one or multiple drugs undergo alterations of varying degrees…”
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  11. 11

    VIGA: A variational graph autoencoder model to infer user interest representations for recommendation Autor Gan, Mingxin, Zhang, Hang

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.09.2023
    Vydáno v Information sciences (01.09.2023)
    “…Learning representations of both user interests and item characteristics is essentially important for recommendation tasks. Although graph neural network-based…”
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  12. 12

    Dual stream fusion link prediction for sparse graph based on variational graph autoencoder and pairwise learning Autor Li, Xun, Cai, Hongyun, Feng, Chuan, Zhao, Ao

    ISSN: 0306-4573
    Vydáno: Elsevier Ltd 01.05.2025
    Vydáno v Information processing & management (01.05.2025)
    “… To address these issues, this paper proposes a novel link prediction method for sparse graphs based on variational graph autoencoder and pairwise learning…”
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  13. 13

    Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation Autor Xiong, Yudi, Guo, Yongxin, Pan, Weike, Yang, Qiang, Ming, Zhong, Zhang, Xiaojin, Han, Yu, Lin, Tao, Tang, Xiaoying

    ISSN: 1041-4347, 1558-2191
    Vydáno: IEEE 01.07.2025
    “…Cross-domain recommendation (CDR) aims to alleviate the data sparsity problem by leveraging the benefits of modeling two domains. However, existing research…”
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  14. 14

    Adversarial Attention-Based Variational Graph Autoencoder Autor Weng, Ziqiang, Zhang, Weiyu, Dou, Wei

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2020
    Vydáno v IEEE access (2020)
    “… graph embedding performance. In this paper, we propose the adversarial attention variational graph autoencoder (AAVGA…”
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    Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis Autor Yadalam, Pradeep K., Natarajan, Prabhu Manickam, Ardila, Carlos M.

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 14.01.2025
    Vydáno v Scientific reports (14.01.2025)
    “… This study evaluates the efficacy of Variational Graph Autoencoders (VGAEs) in reconstructing gene data related to NLRP3-mediated pyroptosis in periodontitis…”
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  17. 17

    MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data Autor Zhao, Jinhui, He, Jiarui, Guan, Pengwei, Bao, Han, Zhao, Xinjie, Zhao, Chunxia, Qin, Wangshu, Lu, Xin, Xu, Guowang

    ISSN: 1520-6882, 1520-6882
    Vydáno: United States 28.10.2025
    Vydáno v Analytical chemistry (Washington) (28.10.2025)
    “… To address these critical limitations, we introduce MODAPro, a biologically informed deep learning framework that synergistically integrates variational graph autoencoders (VAE…”
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  18. 18

    Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization Autor Choong, Jun Jin, Liu, Xin, Murata, Tsuyoshi

    ISSN: 1099-4300, 1099-4300
    Vydáno: MDPI 01.02.2020
    Vydáno v Entropy (Basel, Switzerland) (01.02.2020)
    “…Variational Graph Autoencoder (VGAE) has recently gained traction for learning representations on graphs…”
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    A Variational Graph Autoencoder Aided Canonical Correlation Analysis-Based Online Abnormal Patterns Detection Method for Buildings HVAC Systems Autor Pan, Xiaogang, Deng, Qiao, Jiao, Yuanyuan, Chen, Zhiwen

    ISSN: 0098-3063, 1558-4127
    Vydáno: New York IEEE 01.05.2025
    “…Heating, Ventilation, and Air Conditioning (HVAC) systems have become essential components of contemporary life, extensively employed in commercial and…”
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    A ^VGAE: An Attribute-Augmented Adversarial Variational Graph Autoencoder for Link Prediction Autor Pan, Zhihong, Zhong, Zhijie, Wei, Lingling, Lin, Yunxuan, Li, Weisheng, Lin, Ronghua, Tang, Yong

    ISSN: 2329-924X, 2373-7476
    Vydáno: IEEE 16.06.2025
    “… variational graph autoencoder (A<inline-formula><tex-math notation="LaTeX">{}^{3}</tex-math></inline-formula>VGAE), which can effectively solve the above two problems…”
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