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Spatio-temporal fusion graph convolutional network for traffic flow forecasting
期刊论文
INFORMATION FUSION, 2024, 卷号: 104, 页码: 11
作者:
Ma, Ying
;
Lou, Haijie
;
Yan, Ming
;
Sun, Fanghui
;
Li, Guoqi
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/02/22
Graph convolutional network
Spatio-temporal data
Traffic forecasting
A Spatial-Temporal Approach for Multi-Airport Traffic Flow Prediction Through Causality Graphs
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:
Du, Wenbo
;
Chen, Shenwen
;
Li, Zhishuai
;
Cao, Xianbin
;
Lv, Yisheng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/16
Airport traffic flow
predictive models
deep learning
causality graph
spatiotemporal analysis
UNIT: A unified metric learning framework based on maximum entropy regularization
期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 21
作者:
Deng, Huiyuan
;
Meng, Xiangzhu
;
Deng, Fengxia
;
Feng, Lin
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  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Metric learning
Kernel learning
Nearest-neighbors classification
Semi-supervised learning
Maximum entropy principle
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:
Tian, Hu
;
Zhang, Xingwei
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
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  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Gated recurrent unit
graph representation learning
learning dynamic dependencies
stock prediction system
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning
会议论文
Austin, TX, USA, 2023-4-30
作者:
Mengqi Zhang
;
Xuwei Xia
;
Qiang Liu
;
Shu Wu
;
Liang Wang
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  |  
浏览/下载:6/0
  |  
提交时间:2023/07/03
Open set domain adaptation with latent structure discovery and kernelized classifier learning
期刊论文
NEUROCOMPUTING, 2023, 卷号: 531, 页码: 125-139
作者:
Tang, Yongqiang
;
Tian, Lei
;
Zhang, Wensheng
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  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Open set domain adaptation
Adaptive graph learning
Latent structure discovery
Kernelized classifier learning
Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2094-2107
作者:
Shaohua Teng
;
Zefeng Zheng
;
Naiqi Wu
;
Luyao Teng
;
Wei Zhang
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  |  
浏览/下载:0/0
  |  
提交时间:2023/09/22
Adaptive adjustment
consistency and specificity
domain adaptation
graph embedding
geometrical and semantic metrics
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:
Zebing Wei
;
Hongxia Zhao
;
Zhishuai Li
;
Xiaojie Bu
;
Yuanyuan Chen
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  |  
浏览/下载:12/0
  |  
提交时间:2023/01/03
Deep learning
graph neural network (GNN)
multi-stream
spatial-temporal feature extraction
temporal graph
traffic prediction
Progressive Context-Aware Graph Feature Learning for Target Re-Identification
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1230-1242
作者:
Cao, Min
;
Ding, Cong
;
Chen, Chen
;
Dou, Hao
;
Hu, Xiyuan
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/16
Target re-identification
graph convolutional network
feature learning
contextual information
graph feature learning
A traffic flow-forecasting model based on multi-head spatio-temporal attention and adaptive graph convolutional networks
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2022, 卷号: 33, 期号: 10
作者:
Zhang, Hong
;
Kan, Sunan
;
Cao, Jie
;
Chen, Linlong
;
Zhao, Tianxin
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/09/22
Traffic flow forecasting
deep learning
multi-head spatio-temporal attention mechanism
graph convolutional network
spatio-temporal correlation
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