Suchergebnisse - Variation Graph Autoencoder (VGAE)

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

“… To surmount these obstacles, the study embarks on the optimization of a Variational Graph Autoencoder (VGAE …”
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CVAM: CNA Profile Inference of the Spatial Transcriptome Based on the VGAE and HMM von Ma, Jian, Guo, Jingjing, Fan, Zhiwei, Zhao, Weiling, Zhou, Xiaobo

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

“… However, most industrial scenarios are without graphs. Hence, a self-supervised variational graph autoencoders (SS-VGAE) method is proposed …”
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Enhancing the Performance of VGAE Architectures for Reconstruction High-Quality 3D Faces von Batarfi, Mahfoudh M

“… This research investigates methods to enhance the performance of Variational Graph Autoencoder (VGAE …”
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DCMF-PPI: a protein-protein interaction predictor based on dynamic condition and multi-feature fusion von Chen, Siqi, Zheng, Anhong, Yu, Weichi, Zhan, Chao

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

“… 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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