Search Results - Spatial-temporal graph convolutional network algorithm*

Data center traffic scheduling algorithm based on spatial–temporal graph convolution networks.

Authors: Shang, Fengjun Jiang, Yanguo

Source: Wireless Networks (10220038). Oct2025, Vol. 31 Issue 7, p4649-4660. 12p.

Subject Terms: *LOAD balancing (Computer networks), *GRAPH neural networks, *BEES algorithm, *SERVER farms (Computer network management), *BANDWIDTH allocation, *NETWORK performance

STGCN-SHOA: A Spatial-Temporal Graph Convolutional Network for athletes’ gait analysis using Spotted Hyena Optimization Algorithm

Authors: M Amsaprabhaa D Abisha

Source: 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA). :1-6

Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network

Authors: Mengjuan Xu Xiang Chen Yuwen Ruan et al.

Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 72-82 (2024)

Subject Terms: user-independent, Gestures, gesture recognition, Electromyography, graph neural network, RM1-950, transfer learning, EMG, Medical technology, Humans, Therapeutics. Pharmacology, Neural Networks, Computer, R855-855.5, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/38090843
https://doaj.org/article/cc7e83ec650544dcbfa357cf73a35da4

Intelligent disassembly scenario understanding for human behavior and intention recognition towards self-perception human-robot collaboration system

Authors: Xiao, Jinhua Wang, Bo Huang, Kaile et al.

Source: European Lighthouse to Manifest Trustworthy and Green AI (ENFIELD) Journal of manufacturing systems. 83:937-962

Subject Terms: Disassembly system, End-of-life product, Human robot collaboration, Intent recognition, ST-GCN algorithm, Behavioral research, Collaborative robots, Intelligent robots, Man machine systems, Pattern recognition, Convolutional networks, Disassembly systems, End-of-life products, Human-robot collaboration, Intention recognition, Network algorithms, Spatial temporals, Spatial-temporal graph convolutional network algorithm, Temporal graphs, Inference engines, Virtual Production Development (VPD)

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-26015
https://doi.org/10.1016/j.jmsy.2025.11.012

Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification

Authors: Xiaopeng Ji Yan Li Peng Wen

Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1464-1472 (2022)

Subject Terms: Manganese, Aggregates, Classification algorithms, 0206 medical engineering, sleep stage classification, Deep learning, Electroencephalography, RM1-950, 02 engineering and technology, Convolution, Electrooculography, 03 medical and health sciences, 0302 clinical medicine, Medical technology, Feature extraction, Humans, graph convolutional networks, Therapeutics. Pharmacology, Neural Networks, Computer, Sleep Stages, R855-855.5, Sleep

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/35584068
https://doaj.org/article/c9a8c41145214459a2bb9d599b1df54f

Fall Detection Method for Infrared Videos Based on Spatial-Temporal Graph Convolutional Network.

Authors: Yang J He Y Zhu J et al.

Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Jul 17; Vol. 24 (14). Date of Electronic Publication: 2024 Jul 17.

Publication Type: Journal Article

Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

MeSH Terms: Accidental Falls* , Algorithms* , Neural Networks, Computer* , Video Recording*/methods , Infrared Rays*, Humans

A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes

Authors: Chen, Zhengyong Wu, Hongde O'Connor, Noel E. et al.

Source: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). :1299-1305

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Machine Learning, Systems and Control (eess.SY), 02 engineering and technology, Electrical Engineering and Systems Science - Systems and Control, 01 natural sciences, Systems engineering, Machine Learning (cs.LG), Machine learning, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Algorithms, 0105 earth and related environmental sciences

File Description: application/pdf

Access URL: http://doras.dcu.ie/26053/1/ITSC_2021_V2.pdf
http://arxiv.org/abs/2104.10644
https://dblp.uni-trier.de/db/journals/corr/corr2104.html#abs-2104-10644
https://arxiv.org/abs/2104.10644
http://doras.dcu.ie/26053/
https://doras.dcu.ie/26053/1/ITSC_2021_V2.pdf

Knowledge distillation on spatial-temporal graph convolutional network for traffic prediction

Authors: Mohammad Izadi Mehran Safayani Abdolreza Mirzaei

Source: International Journal of Computers and Applications. 47:45-56

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

Access URL: http://arxiv.org/abs/2401.11798

改进时空图卷积模型的双人交互行为识别算法.

Alternate Title: Improved Spatial Temporal Graph Convolutional Model for Two-person Interaction Recognition Algorithm.

Authors: 姬晓飞 张薇 冯雅迪

Source: Science Technology & Engineering. 2025, Vol. 25 Issue 8, p3316-3324. 9p.

Research on Knowledge Concept Recommendation Algorithm With Spatial-Temporal Information

Authors: Zhaoyu Shou Yixin Chen Huibing Zhang et al.

Source: IEEE Access, Vol 12, Pp 81527-81540 (2024)

Subject Terms: 4. Education, online learning, 0202 electrical engineering, electronic engineering, information engineering, recurrent neural networks, graph convolutional networks, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Knowledge concept recommendation, TK1-9971

Access URL: https://doaj.org/article/eea8aa09e634479f8d4ad086c903f4a1

Predicting Protein-Ligand Binding Affinity Using Fusion Model of Spatial-Temporal Graph Neural Network and 3D Structure-Based Complex Graph.

Authors: Li G Yuan Y Zhang R

Source: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2025 Jun; Vol. 17 (2), pp. 257-276. Date of Electronic Publication: 2024 Nov 14.

Publication Type: Journal Article

Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE

MeSH Terms: Neural Networks, Computer* , Proteins*/chemistry , Proteins*/metabolism, Ligands ; Protein Binding ; Algorithms ; Protein Conformation ; Graph Neural Networks

Athlete movement control training based on dynamic time warping algorithm

Authors: Luo Dai Yueqiang Zhao

Source: Systems and Soft Computing, Vol 7, Iss , Pp 200336- (2025)

Subject Terms: Dynamic time regulation, Spatial-temporal graph convolutional network, Long short-term memory network, Action assessment, Action recognition, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772941925001541; https://doaj.org/toc/2772-9419

Access URL: https://doaj.org/article/373cf175d7014732b726d8117a640aa8

ST-ReGE: A Novel Spatial-Temporal Residual Graph Convolutional Network for CVD

Authors: Huaicheng Zhang Wenhan Liu Sheng Chang et al.

Source: IEEE Journal of Biomedical and Health Informatics. 28:216-227

Access URL: https://pubmed.ncbi.nlm.nih.gov/37871091

Automated diagnosis of schizophrenia based on spatial–temporal residual graph convolutional network.

Authors: Xu, Xinyi Zhu, Geng Li, Bin et al.

Source: BioMedical Engineering OnLine; 6/17/2024, Vol. 23 Issue 1, p1-17, 17p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, GRAPH neural networks, MACHINE learning, SCHIZOPHRENIA, LARGE-scale brain networks, GRAPH algorithms, MATHEMATICAL convolutions

Frequency-Aware and Interactive Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction.

Authors: Teng, Guoqing Wu, Han Wu, Hao et al.

Source: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p11254, 21p

Subject Terms: INTELLIGENT transportation systems, GRAPH neural networks, TRAFFIC estimation, PREDICTIVE validity

On hourly prediction of PM2.5 using spatial–temporal graph convolutional network.

Authors: Ren, Zhenxing Ji, Xinxin

Source: Earth Science Informatics. Jun2025, Vol. 18 Issue 2, p1-22. 22p.

Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction

Authors: Izadi, Mohammad Safayani, Mehran Mirzaei, Abdolreza

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2401.11798

Combining weather factors to predict traffic flow: A spatial‐temporal fusion graph convolutional network‐based deep learning approach

Authors: Xudong Qi Junfeng Yao Ping Wang et al.

Source: IET Intelligent Transport Systems, Vol 18, Iss 3, Pp 528-539 (2024)

Subject Terms: Transportation engineering, traffic modelling, TA1001-1280, Electronic computers. Computer science, management and control, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, traffic information systems, traffic and demand managing

Access URL: https://doaj.org/article/02a595c4b88a4dfcb4619651c869f035

A multi-domain graph convolutional network-based prediction model for personalized motor imagery action.

Authors: Ge, Jiahao Wang, Jie Zheng, Xiao et al.

Source: Frontiers in Neuroscience; 2025, p1-15, 15p

Subject Terms: MOTOR imagery (Cognition), BRAIN-computer interfaces, FUNCTIONAL connectivity, GRAPH neural networks, FORECASTING, DECODING algorithms

Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search

Authors: Chunnan Wang Kaixin Zhang Hongzhi Wang et al.

Source: ACM Transactions on Knowledge Discovery from Data. 17:1-21

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology