Search Results - Deep hypergraph autoencoder embedding~

Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks.

Authors: Boughanmi, Khaled Ansari, Asim Li, Yang

Source: Journal of Marketing Research (JMR); Dec2025, Vol. 62 Issue 6, p1101-1124, 24p

Subject Terms: CONSUMER preferences, COLLECTIONS, MUSIC industry, HYPERGRAPHS, ARTIFICIAL neural networks, DATA curation

Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis

Authors: Mingkuan Shi Chuancang Ding Rui Wang et al.

Source: Knowledge-Based Systems. 260:110172

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning

Authors: Koge, Daiki Ono, Naoaki Huang, Ming et al.

Index Terms: Journal Article

URL: http://hdl.handle.net/10061/14170
https://doi.org/10.1002/minf.202000203
https://onlinelibrary.wiley.com/doi/full/10.1002/minf.202000203
https://doi.org/10.1002/minf.202000203
https://onlinelibrary.wiley.com/doi/full/10.1002/minf.202000203

Development of game theoretic hypergraph based autoencoder scheme for multiple objects tracking and anomaly detection for surveillance videos.

Authors: Srinivasan, Palanivel Mohan, Karthik Doraipandian, Manivannan et al.

Source: Scientific Reports; 11/17/2025, Vol. 15 Issue 1, p1-11, 11p

Subject Terms: ANOMALY detection (Computer security), OBJECT tracking (Computer vision), STATISTICAL accuracy, HYPERGRAPHS, VIDEO surveillance, COMPUTER performance, GAME theory, AUTOENCODERS

Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning

Authors: Koge, Daiki Ono, Naoaki Huang, Ming et al.

Index Terms: Journal Article

URL: http://hdl.handle.net/10061/14170
https://doi.org/10.1002/minf.202000203
https://onlinelibrary.wiley.com/doi/full/10.1002/minf.202000203
https://doi.org/10.1002/minf.202000203
https://onlinelibrary.wiley.com/doi/full/10.1002/minf.202000203

A Hybrid Deep Learning Model for E‐Commerce Recommendations: Sentiment Analysis With Autoencoders and Generative Adversarial Networks.

Authors: Yarjanli, Mohammad Mahdinasab, Neda Murray, Richard

Source: International Journal of Intelligent Systems; 10/2/2025, Vol. 2025, p1-36, 36p

Subject Terms: SENTIMENT analysis, DEEP learning, GENERATIVE adversarial networks, FEATURE extraction, ELECTRONIC commerce, AUTOENCODERS

Optimisation of sparse deep autoencoders for dynamic network embedding.

Authors: Tang, Huimei Zhang, Yutao Ma, Lijia et al.

Source: CAAI Transactions on Intelligence Technology; Dec2024, Vol. 9 Issue 6, p1361-1376, 16p

Subject Terms: ARTIFICIAL neural networks, AUTOENCODERS, COMPUTATIONAL complexity, TRAINING needs, DYNAMIC models

Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning.

Authors: 60395118 Ono, Naoaki Huang, Ming et al.

Index Terms: Journal Article., NA.

URL: http://hdl.handle.net/10061/14170
https://naist.repo.nii.ac.jp/records/4253
https://doi.org/10.1002/minf.202000203
https://onlinelibrary.wiley.com/doi/full/10.1002/minf.202000203

Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning.

Authors: Koge, Daiki Ono, Naoaki Huang, Ming et al.

Source: Molecular Informatics; Feb2021, Vol. 40 Issue 2, p1-7, 7p

Subject Terms: MOLECULAR structure, CHEMICAL structure, DEEP learning, CHEMICAL models, VECTOR spaces

Heterogeneous Hypergraph Variational Autoencoder for Link Prediction.

Authors: Fan, Haoyi Zhang, Fengbin Wei, Yuxuan et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2022, Vol. 44 Issue 8, p4125-4138, 14p

Subject Terms: PROBABILISTIC generative models, RECOMMENDER systems, INFORMATION networks, MULTILEVEL models, FORECASTING, DEEP learning

A comprehensive benchmark of single-cell Hi-C embedding tools.

Authors: Plummer, Dylan Lang, Xiuyuan Zhang, Shanshan et al.

Source: Nature Communications; Dec2025, Vol. 16 Issue 1, p1-19, 19p

Subject Terms: DEEP learning, DIMENSIONAL reduction algorithms, CELL populations, DATA management, CHROMOSOME structure, PERIODICAL articles

ESAE-SDA: ensemble sparse autoencoder framework for epigenomics-informed snoRNA-disease associations prediction.

Authors: Jiang, Xinqing Chen, Xiaojun Xu, Lifeng et al.

Source: BMC Bioinformatics; 10/31/2025, Vol. 26 Issue 1, p1-18, 18p

Subject Terms: EPIGENOMICS, NON-coding RNA, GENE expression, ARTIFICIAL intelligence, ENSEMBLE learning, AUTOENCODERS, DISEASE complications

A Survey on Hypergraph Representation Learning.

Authors: ANTELMI, ALESSIA CORDASCO, GENNARO POLATO, MIRKO et al.

Source: ACM Computing Surveys; Jan2024, Vol. 56 Issue 1, p1-38, 38p

Subject Terms: HYPERGRAPHS, VIRTUAL networks, DEEP learning, ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, MACHINE learning, NATURAL language processing, ONLINE social networks

INRA: deep autoencoder-based node influence ranking method in complex networks.

Authors: Patel, Asmita Singh, Buddha

Source: International Journal of Data Science & Analytics; Nov2025, Vol. 20 Issue 6, p6019-6039, 21p

A deep multiple self-supervised clustering model based on autoencoder networks.

Authors: Zhu, Ling Liu, Zijin Liu, Guangyu

Source: Scientific Reports; 5/26/2025, Vol. 15 Issue 1, p1-14, 14p

Subject Terms: CLUSTERING algorithms, ARTIFICIAL intelligence, AUTOENCODERS, IMAGE processing, COMPUTER workstation clusters

DHGL: Dynamic hypergraph‐based deep learning model for disease prediction.

Authors: Qu, Zhe Sun, Ziyou Liu, Ning et al.

Source: Electronics Letters (Wiley-Blackwell); Mar2024, Vol. 60 Issue 6, p1-4, 4p

Subject Terms: ELECTRONIC health records, PREDICTION models, HYPERGRAPHS

HyperGCN: an effective deep representation learning framework for the integrative analysis of spatial transcriptomics data.

Authors: Ma, Yuanyuan Liu, Lifang Zhao, Yongbiao et al.

Source: BMC Genomics; 6/5/2024, Vol. 25 Issue 1, p1-14, 14p

Subject Terms: TRANSCRIPTOMES, DEEP learning, GENE expression, OLFACTORY bulb, GENE expression profiling, BREAST, OLFACTORY receptors

A novel intelligent multicross domain fault diagnosis of servo motor-bearing system based on Domain Generalized Graph Convolution Autoencoder.

Authors: Zhao, Xiaoli Hu, Yuanhao Liu, Jiahui et al.

Source: Structural Health Monitoring; May2025, Vol. 24 Issue 3, p1485-1499, 15p

Subject Terms: AUTOENCODERS, FAULT diagnosis, DEEP learning, REPRESENTATIONS of graphs, ROLLER bearings

HMNE: link prediction using hypergraph motifs and network embedding in social networks.

Authors: Zhang, Yichen Lai, Shouliang Peng, Zelu et al.

Source: Knowledge & Information Systems; Feb2025, Vol. 67 Issue 2, p1787-1809, 23p

Subject Terms: KNOWLEDGE graphs, RANDOM walks, SOCIAL networks, HYPERGRAPHS, BIOINFORMATICS

Hyperbolic multi-channel hypergraph convolutional neural network based on multilayer hypergraph.

Authors: Bai, Libing Hu, Feng Tang, Chunyang et al.

Source: Scientific Reports; 7/9/2025, Vol. 15 Issue 1, p1-18, 18p

Subject Terms: HYPERGRAPHS, CONVOLUTIONAL neural networks, MULTILAYERS, GRAPH neural networks