Výsledky vyhledávání - "graph autoencoder"

Exploring the latent space distribution of a graph autoencoder trained on 3D models of modernist architecture

Autoři: Erik Bauscher Thomas Wortmann

Zdroj: International Journal of Architectural Computing. 23:742-752

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes

Autoři: Yige Zhao Jianxiang Yu Yao Cheng a další

Zdroj: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. :2067-2078

Témata: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Social and Information Networks, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2311.07929

WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder

Autoři: Wenxuan Tu Sihang Zhou Xinwang Liu a další

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:5760-5777

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40184302

GAE4HT: Detecting Hardware Trojans with Graph Autoencoder-Trained on Golden Model Data Flow Graphs

Autoři: Daehyeon Lee Junghee Lee

Zdroj: Proceedings of the 20th ACM Asia Conference on Computer and Communications Security. :1175-1187

Modelling and solving sustainable supply chain network design based on graph autoencoder clustering algorithm

Autoři: Yuhan Guo Runsheng Chen Youssef Boulaksil a další

Zdroj: International Journal of Production Research. :1-27

A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation

Autoři: Yu, Huafei Ai, Tinghua Yang, Min a další

Přispěvatelé: Yu, Huafei Ai, Tinghua Yang, Min a další

Zdroj: International Journal of Digital Earth. 16(1):1828-1852

Témata: Natural Sciences, Earth and Related Environmental Sciences, Other Earth Sciences (including Geographical Information Science), Naturvetenskap, Geovetenskap och relaterad miljövetenskap, Annan geovetenskap (Här ingår: Geografisk informationsvetenskap), Physical Geography, Naturgeografi

Přístupová URL adresa: https://doi.org/10.1080/17538947.2023.2212920

Self-supervised Graph Autoencoder with Node Feature Convolution for Community Detection

Autoři: Haoran Tan Hongkai Xie Xiaofeng Wang a další

Zdroj: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783032002174

A Novel Framework for Predicting Phage-Host Interactions via Host Specificity-Aware Graph Autoencoder

Autoři: Zhen Xiao Han Sun Ankang Wei a další

Zdroj: IEEE Journal of Biomedical and Health Informatics. 29:3069-3078

Témata: Bacteria, Host-Pathogen Interactions, Computational Biology, Humans, Bacteriophages, Autoencoder, Host Specificity, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40030240

Enhancing Recommendation Performance via Aspect-Based Review Analysis and Dual Graph Autoencoder

Autoři: Dasom Jeong Haebin Lim Qinglong Li a další

Zdroj: Journal of Intelligence and Information Systems. 31:111-130

DGAEPPO: Graph Autoencoder-Enhanced PPO for Dependency-Aware Edge Tasks

Autoři: Bofeng Zhang Chenlei Xu Simin Wang a další

Zdroj: 2025 IEEE 6th International Conference on Pattern Recognition and Machine Learning (PRML). :134-138

VCGAE++: variational collective graph autoEncoder for multi-behavior recommendation

Autoři: Yingxuan Zhuang Yang Liu Weike Pan a další

Zdroj: Knowledge and Information Systems. 67:8085-8114

Locational False Data Injection Attack Detection in Smart Grid Using Recursive Variational Graph Autoencoder

Autoři: Yufeng Wang Ziyan Lu Jianhua Ma a další

Zdroj: IEEE Internet of Things Journal. 12:13697-13708

Canonical Correlation Analysis aided Dynamic Graph Autoencoder Method for Industrial Process Monitoring

Autoři: Md Mehedi Hassan Zhiwen Chen Syeda Sadia Afrin a další

Zdroj: 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). :750-755

A Variational Graph Autoencoder Aided Canonical Correlation Analysis-Based Online Abnormal Patterns Detection Method for Buildings HVAC Systems

Autoři: Xiaogang Pan Qiao Deng Yuanyuan Jiao a další

Zdroj: IEEE Transactions on Consumer Electronics. 71:6867-6879

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection

Autoři: Long Zeng Jianxiang Yu Jiapeng Zhu a další

Zdroj: Proceedings of the ACM on Web Conference 2025. :3772-3782

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2504.12715

Hgae: Heterogeneous Graph Autoencoder-Based Service Bundle Recommendations for Efficient Mashup Development

Autoři: Kaipu Sun Xuanye Wang Meng Xi a další

Zdroj: 2025 IEEE International Conference on Web Services (ICWS). :943-945

Exploring Microbe-drug Association Prediction via Multi-attribute Dual-decoder Graph Autoencoder

Autoři: Wei Liu Xiangcheng Deng Xingen Sun a další

Zdroj: IEEE Journal of Biomedical and Health Informatics. :1-11

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40168534

Spatiotemporal Graph Autoencoder Network for Skeleton-Based Human Action Recognition

Autoři: Hosam Abduljalil Ahmed Elhayek Abdullah Marish Ali a další

Zdroj: AI, Vol 5, Iss 3, Pp 1695-1708 (2024)

Témata: human activity analysis, Electronic computers. Computer science, graph autoencoder, deep learning, graph convolutional networks, QA75.5-76.95, skeleton-based human action recognition

Přístupová URL adresa: https://doaj.org/article/6db5e7cb49744e039fc486429393c144

Prediction of Associations between Nanoparticle, Drug and Cancer Using Variational Graph Autoencoder

Autoři: Emrah İNAN

Zdroj: Volume: 26, Issue: 76 167-172
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi

Témata: Bilgisayar Görüşü ve Çoklu Ortam Hesaplama (Diğer), Varyasyonel Çizge Otokodlayıcı, Nanoparçacıklar, İlaç-hastalık İlişkisi, Variational Graph Autoencoder, Nanoparticles, Drug–disease Association, Computer Vision and Multimedia Computation (Other), 3. Good health

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/deumffmd/issue/82757/1300214

Alternating-update-strategy based Graph Autoencoder for graph neural network

Autoři: Lingxiao Shan Jian Li Guanjun Liu

Zdroj: The Computer Journal. 68:830-838