Výsledky vyhľadávania - "Graph Convolutional Variational Autoencoders"

Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders Autor Mishra, Aditya, Samin, Ahnaf Mozib, Etemad, Ali, Hashemi, Javad

“…We propose GC-VASE, a graph convolutional-based variational autoencoder that leverages contrastive learning for subject representation learning from EEG data…”
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Scalable Graph Convolutional Variational Autoencoders Autor Unyi, Daniel, Gyires-Toth, Balint

“…Autoencoders are widely used for self-supervised representation learning. Variational autoencoders (VAEs), a special type of autoencoders, are proven to be…”
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DiffuScope: A diffusion-regularized autoencoder for spatial transcriptomic clustering Autor Shi, Hua, Yi, Ding, Cui, Yang, Wang, Ruheng, Li, Yan, Ao, Chunyan, Guo, Ruihua, Zhang, Weihang, Peng, Tao, Le, Yuying, Cui, Yaxuan, Wei, Leyi

“… To address this challenge, we propose DiffuScope, a clustering framework based on Graph Convolutional Variational Autoencoders (GC-VAE…”
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Graph variational autoencoder with affinity propagation for community-aware anomaly detection in attributed networks Autor Cao, Zhijie, Yang, Chengkun, Fan, Xiaoqing, Li, Lingjie, Lin, Qiuzhen, Li, Jianqiang, Ma, Lijia

“…) for community-aware ADAN. GVE-AP first employs a graph convolutional variational autoencoder to learn node embeddings from attributed networks…”
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Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion Autor Bourached, Anthony, Gray, Robert, Guan, Xiaodong, Ryan-Rhys Griffiths, Jha, Ashwani, Nachev, Parashkev

“… We show this Hierarchical Graph-convolutional Variational Autoencoder (HG-VAE) to be capable of generating coherent actions, detecting out-of-distribution…”
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