Search Results - Deep hypergraph autoencoder embedding*

Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis by Shi, Mingkuan, Ding, Chuancang, Wang, Rui, Song, Qiuyu, Shen, Changqing, Huang, Weiguo, Zhu, Zhongkui

“… between data, and therefore cannot obtain good fault diagnosis results. To overcome this difficulty, an efficient fault diagnosis method based on deep hypergraph autoencoder embedding (DHAEE…”
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Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning by Koge, Daiki, Ono, Naoaki, Huang, Ming, Altaf‐Ul‐Amin, Md, Kanaya, Shigehiko

“… In our research, we propose an effective method for molecular embedding learning that combines variational autoencoders (VAEs…”
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Heterogeneous Hypergraph Variational Autoencoder for Link Prediction by Fan, Haoyi, Zhang, Fengbin, Wei, Yuxuan, Li, Zuoyong, Zou, Changqing, Gao, Yue, Dai, Qionghai

“… of nodes, which tends to lead to a sub-optimal embedding result. This paper presents a method named Heterogeneous Hypergraph Variational Autoencoder (HeteHG-VAE…”
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Autoencoder Model Using Edge Enhancement to Detect Communities in Complex Networks by Chaudhary, Laxmi, Singh, Buddha

“… (a small dense subgraph), yet they mainly put emphasis on the connected motif hypergraph…”
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Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification by Banka, Alin, Buzi, Inis, Rekik, Islem

“… In this paper, while cross-pollinating adversarial deep learning with hypergraph theory, we aim to jointly learn deep latent embeddings of subject0specific multi-view brain graphs to eventually…”
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Mathematics-assisted directed evolution and protein engineering by Qiu, Yuchi, Guo-Wei, Wei

“…) techniques, including long short-term memory, autoencoder, and transformer, sequence-based embeddings have been dominant approaches in AIDE and AIPE…”
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