Nature Machine Intelligence volume 6, pages 1457–1466 (2024)Cite this article 7126 Accesses Metrics details Abstract Variational graph encoders effectively combine graph convolutional networks with variational autoencoders, and have been widely employed for biomedical graph-structured data. Lam and ...
We present a novel approach for multiview canonical correlation analysis based on a variational graph neural network model. We propose a nonlinear model which takes into account the available graph-based geometric constraints while being scalable to large-scale datasets with multiple views. This model...
Synthetic electronic health records generated with variational graph autoencodersArticle Open access Published: 29 April 2023 Volume 6, article number 83, (2023) Cite this article Download PDF You have full access to this open access article ...
Step 1. Multi-view clustering: We construct multiple spatial graphs and incorporate enhanced gene expressions as inputs to variational graph autoencoders (VGAEs). This step allows for the acquisition of spatial structures from various perspectives. By clustering the latent representations Z(i) learned...
it is possible to sample according to the original distribution. In graph theoretic terms, the graph representing a network with a given number of layers is a blow up of a directed path on the same number of vertices. Such a graph is obtained by replacing each vertex of the path with an...
Cite this paper Li, X., Lyu, X., Zhang, H., Hu, K., Tang, Z. (2019). Regularizing Variational Autoencoders for Molecular Graph Generation. In: Gedeon, T., Wong, K., Lee, M. (eds) Neural Information Processing. ICONIP 2019. Communications in Computer and Information Science, vol ...
{Multiresolution equivariant graph variational autoencoder}, journal = {Machine Learning: Science and Technology}, abstract = {In this paper, we propose Multiresolution Equivariant Graph Variational Autoencoders (MGVAE), the first hierarchical generative model to learn and generate graphs in a multi...
Cite As Kenta (2025). Conditional VAE (Variational Auto Encoder) 条件付きVAE (https://www.mathworks.com/matlabcentral/fileexchange/74974-conditional-vae-variational-auto-encoder-vae), MATLAB Central File Exchange. Retrieved May 16, 2025. Requires MATLAB Deep Learning Too...
Cite this article Cohen Kalafut, N., Huang, X. & Wang, D. Joint variational autoencoders for multimodal imputation and embedding. Nat Mach Intell 5, 631–642 (2023). https://doi.org/10.1038/s42256-023-00663-z Download citation Received15 October 2022 Accepted21 April 2023 Published29 May...
Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture modelsRegular Contribution Open access Published: 12 March 2025 Volume 24, article number 95, (2025) Cite this article Download PDF You have full access to this open access article ...