Search Results - "temporal graph autoencoder"

TGAE: Temporal Graph Autoencoder for Travel Forecasting

Authors: Qiang Wang Hao Jiang Meikang Qiu et al.

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

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

Integrated Spatio-Temporal Air Quality and Healthcare Burden Forecasting: A Novel Information System for Public Health Management in Transitioning Urban Environments.

Authors: Bodele, Harna M. Asutkar, G. M. Asutkar, Kiran G.

Source: Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 2, p777-791, 15p

Subject Terms: GRAPH neural networks, PUBLIC health officers, AIR quality, TRANSFORMER models, DISEASE incidence

Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection.

Authors: Ren, Zhiyu Li, Xiaojie Peng, Jing et al.

Source: Scientific Reports; 1/13/2024, Vol. 14 Issue 1, p1-14, 14p

Subject Terms: CONVOLUTIONAL neural networks, ANOMALY detection (Computer security), TRAFFIC monitoring, DEEP learning, GAUSSIAN measures, FEATURE extraction, KERNEL functions

Dual contrastive learning-based reconstruction for anomaly detection in attributed networks.

Authors: Rafieizadeh, Hossein Zare, Hadi Ghassemi Parsa, Mohsen et al.

Source: PLoS ONE; 11/24/2025, Vol. 20 Issue 11, p1-27, 27p

Subject Terms: ANOMALY detection (Computer security), GRAPH neural networks, FRAUD, COMPUTER networks, MACHINE learning

Efficient Learning-Based Graph Simulation for Temporal Graphs

Authors: Xiang, Sheng Xu, Chenhao Cheng, Dawei et al.

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

Subject Terms: Machine Learning

Access URL: http://arxiv.org/abs/2510.05569

Traffic prediction in time series, spatialtemporal, and OD data: A systematic survey.

Authors: Kai Du Xingping Guo Letian Li et al.

Source: Journal of Traffic & Transportation Engineering (English Edition); Jun2025, Vol. 12 Issue 3, p666-700, 35p

Subject Terms: INTELLIGENT transportation systems, DEEP learning, TIME series analysis, DATA mining, OPEN-ended questions

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

Authors: Kanglei Zhou Hubert P. H. Shum Frederick W. B. Li et al.

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

Access URL: https://pubmed.ncbi.nlm.nih.gov/38032781

An unsupervised false data detection method based on graph autoencoder and attention network in power grid.

Authors: Yang, Yingjie Cai, Tiantian Liu, Dehong et al.

Source: Electrical Engineering; Jan2025, Vol. 107 Issue 1, p869-881, 13p

Subject Terms: AUTOENCODERS, ARTIFICIAL intelligence, ELECTRIC power distribution grids, COMPUTER performance, IMAGE processing

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

Authors: Li, Guozhong Alhumaidi, Muhannad Skiadopoulos, Spiros et al.

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

Access URL: http://arxiv.org/abs/2505.06316

Dynamic spatial–temporal graph-driven machine remaining useful life prediction method using graph data augmentation.

Authors: Yang, Chaoying Liu, Jie Zhou, Kaibo et al.

Source: Journal of Intelligent Manufacturing; Jan2024, Vol. 35 Issue 1, p355-366, 12p

Subject Terms: REMAINING useful life, DATA augmentation, DEEP learning, FORECASTING, MACHINERY, PREDICTION models

EULER: Detecting Network Lateral Movement via Scalable Temporal Link Prediction.

Authors: KING, ISAIAH J. HOWIE HUANG, H.

Source: ACM Transactions on Privacy & Security; Aug2023, Vol. 26 Issue 3, p1-36, 36p

Subject Terms: ARTIFICIAL intelligence, MACHINE learning, CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, COMPUTER access control

Graph Neural Network for Traffic Forecasting: The Research Progress.

Authors: Jiang, Weiwei Luo, Jiayun He, Miao et al.

Source: ISPRS International Journal of Geo-Information; Mar2023, Vol. 12 Issue 3, p100, 35p

Subject Terms: TRAFFIC estimation, DEEP learning, INTELLIGENT transportation systems, MACHINE learning

Time-sequential graph adversarial learning for brain modularity community detection.

Authors: Changwei Gong Bing Xue Changhong Jing et al.

Source: Mathematical Biosciences & Engineering; 2022, Vol. 19 Issue 12, p13276-13293, 18p, 2 Diagrams, 2 Charts, 3 Graphs

A Deep Clustering via Automatic Feature Embedded Learning for Human Activity Recognition.

Authors: Wang, Ting Ng, Wing W. Y. Li, Jinde et al.

Source: IEEE Transactions on Circuits & Systems for Video Technology; Jan2022, Vol. 32 Issue 1, p210-223, 14p

Subject Terms: HUMAN activity recognition, ACTIVE learning, COMPUTATIONAL complexity

MTGAE: Graph Autoencoder with Mirror TCN for Traffic Anomaly Detection

Authors: Zhiyu Ren Xiaojie Li Xi Wu et al.

Building a practical provenance-based intrusion detection and reporting system

Authors: Liang, Jinyuan

Data Driven Event Analysis for Cyber-Power System

Authors: Ahmed, Arman Srivastava, Anurag Bose, Anjan et al.

Contributors: Ahmed, Arman Srivastava, Anurag Bose, Anjan et al.

Subject Terms: Machine Learning, Power Grids

File Description: pdf

Relation: 99901019640501842; https://rex.libraries.wsu.edu/view/delivery/01ALLIANCE_WSU/12397278560001842/13397278550001842; alma:01ALLIANCE_WSU/bibs/99901019640501842

Availability: https://doi.org/10.7273/000005193
https://rex.libraries.wsu.edu/esploro/outputs/doctoral/Data-Driven-Event-Analysis-for-Cyber-Power/99901019640501842
https://rex.libraries.wsu.edu/view/delivery/01ALLIANCE_WSU/12397278560001842/13397278550001842

Advanced Intelligent Computing Technology and Applications

Authors: De-Shuang Huang Chuanlei Zhang Qinhu Zhang et al.

Resource Type: eBook.

Subjects: Computational intelligence--Congresses

Categories: COMPUTERS / Artificial Intelligence / General

Pattern Recognition. ICPR 2024 International Workshops and Challenges

Authors: Shivakumara Palaiahnakote Stephanie Schuckers Jean-Marc Ogier et al.

Resource Type: eBook.

Subjects: Pattern recognition systems--Congresses, Computer vision--Congresses, Artificial intelligence, Pattern perception--Congresses

Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing

Future Industrial Internet

Authors: Hao Yin

Resource Type: eBook.

Categories: COMPUTERS / Business & Productivity Software / General