Suchergebnisse - global dynamic graph convolutional autoencoder (GDGC-AE)

GDGC-AE: A New Approach to Mechanical Anomaly Detection Based on Graph Convolutional Networks and Autoencoders von Zhang, Mingzhe, Su, Zhengchang, Hao, Pengyuan, Lin, Zesheng, Wang, Huaqing, Song, Liuyang

“… In this paper, a global dynamic graph convolutional autoencoder (GDGC-AE) model based on Chebyshev convolution is proposed to cope with the above problems …”
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