Treffer 1 - 20 von 75

1

TF-MVGNN: an accurate traffic forecasting framework based on spatial–temporal graph neural network through exploiting multiple-view graph construction and learning
Cheng, Haoyuan ; Wang, Yufeng ; Ma, Jianhua ; et al.
Neural Computing and Applications. 37(20):14657-14671

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2

Mamba-NTP: Mamba-based network traffic prediction with sparse measurements
Xu, Chengzhe ; Guo, Yingya ; Luo, Huan ; et al.
In Journal of Network and Computer Applications December 2025 244

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3

Dynamic spatio-temporal graph interaction attention network for traffic flow prediction
Li, Wenshu ; Fei, Jianhang ; Jiang, Yongbing ; et al.
In Future Generation Computer Systems February 2026 175

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4

Pedestrian trajectory prediction model based on self-supervised spatiotemporal graph network
Shiji Yang ; Xuezhong Xiao
Intelligent Systems with Applications, Vol 26, Iss , Pp 200533- (2025)

Pedestrians trajectory p... Feature smoothing Multiple-hops structure Spatial temporal graph n... Self-supervised module Cybernetics
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6
7

Integrating knowledge representation into traffic prediction: a spatial–temporal graph neural network with adaptive fusion features
Yi Zhou ; Yihan Liu ; Nianwen Ning ; et al.
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2883-2900 (2023)

Electronic computers. Co... 0502 economics and busin... 05 social sciences External knowledge fusio... 0202 electrical engineer... Traffic flow prediction
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9

Dynamic multi-scale spatial-temporal graph convolutional network for traffic flow prediction
Gao, Ming ; Du, Zhuoran ; Qin, Hongmao ; et al.
In Knowledge-Based Systems 3 December 2024 305

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10

Deep learning model for solar and wind energy forecasting considering Northwest China as an example
Li, Pengyu ; Yang, Huiyu ; Wu, Han ; et al.
In Results in Engineering December 2024 24

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11

Dynamic attention aggregated missing spatial–temporal data imputation for traffic speed prediction
Bikram, Pritam ; Das, Shubhajyoti ; Biswas, Arindam
In Neurocomputing 28 November 2024 607

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12

Attentive graph structure learning embedded in deep spatial-temporal graph neural network for traffic forecasting
Bikram, Pritam ; Das, Shubhajyoti ; Biswas, Arindam
Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems. :1-34

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13

A wind speed forecasting framework for multiple turbines based on adaptive gate mechanism enhanced multi-graph attention networks
Wang, Yufeng ; Yang, Zihan ; Ma, Jianhua ; et al.
In Applied Energy 15 October 2024 372

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14

A Spatial–Temporal Adaptive Graph Convolutional Network with Multi-Sensor Signals for Tool Wear Prediction
Yu Xia ; Guangji Zheng ; Ye Li ; et al.
Applied Sciences ; Volume 15 ; Issue 4 ; Pages: 2058

agris tool wear prediction spatial–temporal graph n... attention mechanism multi-sensor fusion
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15

A lightweight multi-layer perceptron for efficient multivariate time series forecasting
Wang, Zhenghong ; Ruan, Sijie ; Huang, Tianqiang ; et al.
In Knowledge-Based Systems 15 March 2024 288

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16

Adaptive graph generation based on generalized pagerank graph neural network for traffic flow forecasting
Guo, Xiaoyu ; Kong, Xiangyuan ; Xing, Weiwei ; et al.
Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems. :1-16

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17

Elucidating US Import Supply Chain Dynamics
Aristov, Nikolay ; Li, Ziyan ; Koch, Thomas ; et al.
In Procedia Computer Science 2024 238:216-223

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18

The Prediction of Flow in Railway Station Based on RRC-STGCN
Xiaoshu Wang ; Wei Bai ; Zhikang Meng ; et al.
IEEE Access, Vol 11, Pp 131128-131139 (2023)

passenger flow predictio... railway station residual structure Spatial-temporal graph n... deep learning Electrical engineering....
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19

Long-term multivariate time series forecasting in data centers based on multi-factor separation evolutionary spatial–temporal graph neural networks
Shen, Fang ; Wang, Jialong ; Zhang, Ziwei ; et al.
In Knowledge-Based Systems 25 November 2023 280

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