Výsledky vyhľadávania - temporal graph autoencoder

GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders

Autori: Li, Guozhong Alhumaidi, Muhannad Skiadopoulos, Spiros a ďalší

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

Prístupová URL adresa: http://arxiv.org/abs/2505.06316

TGAE: Temporal Graph Autoencoder for Travel Forecasting

Autori: Qiang Wang Hao Jiang Meikang Qiu a ďalší

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 24:8529-8541

Predmety: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Graph Masked Autoencoder for Spatio-Temporal Graph Learning

Autori: Zhang, Qianru Wang, Haixin Yiu, Siu-Ming a ďalší

Témy: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2410.10915

Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection

Autori: Zhiyu Ren Xiaojie Li Jing Peng a ďalší

Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)

Predmety: Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/2e41df57b73e4ace8b3d4da03250a356

A Spatio‐Temporal Enhanced Graph‐Transformer AutoEncoder embedded pose for anomaly detection

Autori: Honglei Zhu Pengjuan Wei Zhigang Xu

Zdroj: IET Computer Vision, Vol 18, Iss 3, Pp 405-419 (2024)

Predmety: computer vision, convolutional neural nets, feature extraction, pose estimation, video surveillance, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1751-9632; https://doaj.org/toc/1751-9640

Prístupová URL adresa: https://doaj.org/article/41d360b7678b4b1285f23c36b7d97b4f

A novel dynamic spatio-temporal graph based condition monitoring framework for consistency retention of digital twin.

Autori: Wang, Xiaofeng Yan, Jihong Xu, Xun

Zdroj: Journal of Manufacturing Systems. Apr2025, Vol. 79, p455-465. 11p.

Predmety: DIGITAL twin, KNOWLEDGE graphs, AUTOENCODERS, SENSOR networks, GRAPH theory

Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation

Autori: Fan, Yangxin Yu, Xuanji Wieser, Raymond a ďalší

Témy: Computer Science - Machine Learning, Statistics - Applications, text

URL: http://arxiv.org/abs/2302.10860

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting

Autori: Liang, Guojun, Postdoktor Tiwari, Prayag Nowaczyk, Sławomir a ďalší

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 33(5):9524-9537

Predmety: Diffusion process, graph neural networks (GNNs), spatiotemporal forecasting, variational graph autoencoders (VGAEs)

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-55718
https://doi.org/10.1109/tnnls.2024.3415149

Spatio-temporal graph convolutional autoencoder for transonic wing pressure distribution forecasting.

Autori: Immordino, Gabriele Vaiuso, Andrea Da Ronch, Andrea a ďalší

Zdroj: Aerospace Science & Technology. Oct2025, Vol. 165, pN.PAG-N.PAG. 1p.

Predmety: *AUTOENCODERS, *TRANSONIC aerodynamics, *NONLINEAR mechanics, *GRAPH neural networks, *SPATIOTEMPORAL processes, *AERODYNAMIC load, *FORECASTING

Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection

Autori: Sai Babu Veesam Aravapalli Rama Satish Sreenivasulu Tupakula a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-24 (2025)

Predmety: Anomaly detection, Temporal graph attention, Transformer-augmented RNNs, Multimodal fusion, Few-shot learning, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/0954db36c8074bd7ae196d5115c9b9bb

Efficient Learning-Based Graph Simulation for Temporal Graphs

Autori: Xiang, Sheng Xu, Chenhao Cheng, Dawei a ďalší

Zdroj: 2025 IEEE 41st International Conference on Data Engineering (ICDE). :251-264

Predmety: Machine Learning

Prístupová URL adresa: http://arxiv.org/abs/2510.05569

scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

Autori: Wang, Shuo Liu, Yuanning Zhang, Hao a ďalší

Zdroj: Biology Direct. 5/27/2025, Vol. 20 Issue 1, p1-25. 25p.

Predmety: *GRAPH neural networks, *AUTOENCODERS, *DEEP learning, *K-nearest neighbor classification, *SYSTEMS theory

WDCIP: spatio-temporal AI-driven disease control intelligent platform for combating COVID-19 pandemic

Autori: Siqi Wang Xiaoxiao Zhao Jingyu Qiu a ďalší

Zdroj: Geo-spatial Information Science, Vol 27, Iss 6, Pp 2023-2047 (2024)

Predmety: COVID-19, spatio-temporal artificial intelligence, epidemic prevention and control platform, risk assessment, SIR, graph autoencoder, Mathematical geography. Cartography, GA1-1776, Geodesy, QB275-343

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1009-5020; https://doaj.org/toc/1993-5153

Prístupová URL adresa: https://doaj.org/article/7453ae8fe71c409e964ebdea15a208b7

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks

Autori: Bahar, Atmane Ayoub Mansour Ferrahi, Kamel Soaid Messai, Mohamed-Lamine a ďalší

Témy: Computer Science - Cryptography and Security, Computer Science - Artificial Intelligence, Computer Science - Networking and Internet Architecture, text

URL: http://arxiv.org/abs/2501.02981

A Comprehensive Method for Anomaly Detection in Complex Dynamic IoT Systems

Autori: Andrii Liashenko Larysa Globa

Zdroj: Proceedings of the International Conference on Applied Innovations in IT, Vol 13, Iss 1, Pp 101-107 (2025)

Predmety: anomaly detection, temporal graphs, temporal graph neural networks, autoencoder, graph neural networks, reconstruction error, dynamic systems, transportation network, Electronic computers. Computer science, QA75.5-76.95, Technology

Popis súboru: electronic resource

Relation: https://icaiit.org/paper.php?paper=13th_ICAIIT_1/2_4; https://doaj.org/toc/2199-8876

Prístupová URL adresa: https://doaj.org/article/fd3af3924db04d33b178b0d3e4f8eedf

An unsupervised intelligent warning model for drilling kick risk based on multi-temporal feature coupling.

Autori: De-Tao Zhou Zhao-Peng Zhu Tao Pan a ďalší

Zdroj: Petroleum Science (KeAi Communications Co.). Sep2025, Vol. 22 Issue 9, p3613-3626. 14p.

Predmety: *GRAPH neural networks, *FALSE alarms, *FEATURE extraction, *TIME series analysis

Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network.

Autori: Li, Nanjun Chang, Faliang Liu, Chunsheng

Zdroj: Neurocomputing. Jun2022, Vol. 490, p482-494. 13p.

Predmety: *VIDEO surveillance, *HUMAN skeleton, *SKELETON

Multi-Task Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising

Autori: Kanglei Zhou Hubert P. H. Shum Frederick W. B. Li a ďalší

Zdroj: IEEE Transactions on Visualization and Computer Graphics. 30:6754-6769

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38032781

A Spatio‐Temporal Enhanced Graph‐Transformer AutoEncoder embedded pose for anomaly detection.

Autori: Zhu, Honglei Wei, Pengjuan Xu, Zhigang

Zdroj: IET Computer Vision (Wiley-Blackwell); Apr2024, Vol. 18 Issue 3, p405-419, 15p

Predmety: TRANSFORMER models, INTRUSION detection systems (Computer security), HUMAN skeleton, COMPUTER vision, VIDEO surveillance, FEATURE extraction, ALGORITHMS

Self-organizing dynamic research based on phase coherence graph autoencoders: Analysis of brain metastable states across the lifespan

Autori: Hao Guo Yu-Xuan Liu Yao Li a ďalší

Zdroj: NeuroImage, Vol 310, Iss , Pp 121119- (2025)

Predmety: Resting state fMRI, Entire lifespan, Phase coherence graph autoencoder, Metastable state, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1053811925001211; https://doaj.org/toc/1095-9572

Prístupová URL adresa: https://doaj.org/article/3b4f1e561b7542fd9bad91c55cc1d708