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Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network Journal article
Tang, Jingwei, Liu, Zhi, Hu, Jianming. Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network[J]. IEEE Transactions on Sustainable Energy, 2024, 15(3), 1946-1956.
Authors:  Tang, Jingwei;  Liu, Zhi;  Hu, Jianming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:8.6/8.6 | Submit date：2024/05/16
Time Zigzag  Flexible Convolution  Graph Convolutional Network  Heavy-tail Quantile Function  
Multi-view dynamic graph convolution neural network for traffic flow prediction Journal article
Huang,Xiaohui, Ye,Yuming, Yang,Xiaofei, Xiong,Liyan. Multi-view dynamic graph convolution neural network for traffic flow prediction[J]. Expert Systems with Applications, 2023, 222, 119779.
Authors:  Huang,Xiaohui;  Ye,Yuming;  Yang,Xiaofei;  Xiong,Liyan
Favorite | TC[WOS]:25 TC[Scopus]:27  IF:7.5/7.6 | Submit date：2023/08/03
Dynamic Fusion  Graph Convolution Network  Multi-view Encoder–decoders  Traffic Flow Prediction  
Multi-mode dynamic residual graph convolution network for traffic flow prediction Journal article
Huang, Xiaohui, Ye, Yuming, Ding, Weihua, Yang, Xiaofei, Xiong, Liyan. Multi-mode dynamic residual graph convolution network for traffic flow prediction[J]. INFORMATION SCIENCES, 2022, 609, 548-564.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Ding, Weihua;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:22 TC[Scopus]:23  IF:0/0 | Submit date：2022/08/02
Graph Convolution Network  Multi-mode Fusion  Spatio-temporal Data  Traffic Flow Prediction  
Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation, Proceedings of International Conference on Computer Vision Conference paper
Wong, C.C., Vong, C. M.. Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation, Proceedings of International Conference on Computer Vision[C], 2021, 7098-7107.
Authors:  Wong, C.C.;  Vong, C. M.
Favorite |  | Submit date：2022/08/09
Persistent Homology  Graph Convolution Network  3D Shape Segmentation  
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Review article
2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
Favorite | TC[WOS]:150 TC[Scopus]:130  IF:7.9/8.3 | Submit date：2021/03/09
Graph Neural Networks  Gnns  Graph Convolution Network  Gcn  Graph  Deep Learning  Traffic Forecasting  Traffic Domain  Its