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Human activity recognition by manifold regularization based dynamic graph convolutional networks Journal article
Neurocomputing, 2021,Volume: 444,Page: 217-225
Authors:  Liu, Weifeng;  Fu, Sichao;  Zhou, Yicong;  Zha, Zheng Jun;  Nie, Liqiang
Favorite |  | TC[WOS]:2 TC[Scopus]:2 | Submit date:2021/12/08
Graph convolutional networks  Human activity recognition  Semi-supervised learning  
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network Conference paper
Milan, Jan 10-15, 2021
Authors:  Yuhang Zhang;  Hongshuai Ren;  Jiexia Ye;  Xitong Gao;  Yang Wang;  Kejiang Ye;  Cheng-Zhong Xu
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/09/18
Graph Convolutional Network  Adjacency Matrix  End-to-end  Node Information Entropy  
Dynamic graph learning convolutional networks for semi-supervised classification Journal article
ACM Transactions on Multimedia Computing, Communications and Applications, 2021,Volume: 17,Issue: 1s
Authors:  Fu, Sichao;  Liu, Weifeng;  Guan, Weili;  Zhou, Yicong;  Tao, Dapeng;  Xu, Changsheng
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/12/07
graph convolutional networks  Graph representation learning  semi-supervised classification  
Dgcb-net: Dynamic graph convolutional broad network for 3d object recognition in point cloud Journal article
Remote Sensing, 2021,Volume: 13,Issue: 1,Page: 1-20
Authors:  Tian,Yifei;  Chen,Long;  Song,Wei;  Sung,Yunsick;  Woo,Sangchul
Favorite |  | TC[WOS]:2 TC[Scopus]:3 | Submit date:2021/03/09
3d Object Recognition  Broad Learning System  Dynamic Graph Convolution  Point Cloud Analysis  
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting Conference paper
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, ELECTR NETWORK, NOV 09-11, 2020
Authors:  Tian,Kelang;  Guo,Jingjie;  Ye,Kejiang;  Xu,Cheng Zhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
Graph Convolutional Networks  Spatial-temporal Model  Traffic Forecasting  
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting Conference paper
Proceedings of the International Joint Conference on Neural Networks, Glasgow, UK, 19-24 July 2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
Favorite |  | TC[WOS]:0 TC[Scopus]:5 | Submit date:2021/03/09
Gcn  Lstm  Passenger Flow Forecasting  Spatial-temporal Forecasting