Suchergebnisse - Deep hypergraph autoencoder embedding

Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis von 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 …”
Volltext

Heterogeneous Hypergraph Variational Autoencoder for Link Prediction von 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 …”
Volltext

Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning von 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 …”
Volltext

Autoencoder Model Using Edge Enhancement to Detect Communities in Complex Networks von Chaudhary, Laxmi, Singh, Buddha

“… (a small dense subgraph), yet they mainly put emphasis on the connected motif hypergraph …”
Volltext

Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification von 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 …”
Volltext

Mathematics-assisted directed evolution and protein engineering von 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 …”
Volltext