English | 繁體

Search in the results

UM

Browse/Search Results:  1-7 of 7 Help

Selected(0)Clear Items/Page:    Sort:
Example-feature graph convolutional networks for semi-supervised classification Journal article
Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou. Example-feature graph convolutional networks for semi-supervised classification[J]. Neurocomputing, 2021, 461, 63-76.
Authors:  Sichao Fu;  Weifeng Liu;  Kai Zhang;  Yicong Zhou
Favorite | TC[WOS]:12 TC[Scopus]:13  IF:5.5/5.5 | Submit date：2021/12/08
Convolutional Neural Networks  Data Representation Learning  Example-feature Graph  Graph Convolutional Networks  
Human activity recognition by manifold regularization based dynamic graph convolutional networks Journal article
Liu, Weifeng, Fu, Sichao, Zhou, Yicong, Zha, Zheng Jun, Nie, Liqiang. Human activity recognition by manifold regularization based dynamic graph convolutional networks[J]. NEUROCOMPUTING, 2021, 444, 217-225.
Authors:  Liu, Weifeng;  Fu, Sichao;  Zhou, Yicong;  Zha, Zheng Jun;  Nie, Liqiang
Favorite | TC[WOS]:23 TC[Scopus]:26  IF:5.5/5.5 | Submit date：2021/12/08
Graph Convolutional Networks  Human Activity Recognition  Semi-supervised Learning  
Semi-supervised classification by graph p-Laplacian convolutional networks Journal article
Fu, Sichao, Liu, Weifeng, Zhang, Kai, Zhou, Yicong, Tao, Dapeng. Semi-supervised classification by graph p-Laplacian convolutional networks[J]. Information Sciences, 2021, 560, 92-106.
Authors:  Fu, Sichao;  Liu, Weifeng;  Zhang, Kai;  Zhou, Yicong;  Tao, Dapeng
Favorite | TC[WOS]:33 TC[Scopus]:44  IF:0/0 | Submit date：2021/12/08
Graph Convolutional Networks  Manifold Learning  P-laplacian  Semi-supervised Classification  
Dynamic graph learning convolutional networks for semi-supervised classification Journal article
Fu, Sichao, Liu, Weifeng, Guan, Weili, Zhou, Yicong, Tao, Dapeng, Xu, Changsheng. Dynamic graph learning convolutional networks for semi-supervised classification[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2021, 17(1), 4.
Authors:  Fu, Sichao;  Liu, Weifeng;  Guan, Weili;  Zhou, Yicong;  Tao, Dapeng; et al.
Favorite | TC[WOS]:15 TC[Scopus]:17  IF:5.2/4.9 | Submit date：2021/12/07
Graph Convolutional Networks  Graph Representation Learning  Semi-supervised Classification  
HesGCN: Hessian graph convolutional networks for semi-supervised classification Journal article
Fu, Sichao, Liu, Weifeng, Tao, Dapeng, Zhou, Yicong, Nie, Liqiang. HesGCN: Hessian graph convolutional networks for semi-supervised classification[J]. Information Sciences, 2020, 514, 484-498.
Authors:  Fu, Sichao;  Liu, Weifeng;  Tao, Dapeng;  Zhou, Yicong;  Nie, Liqiang
Favorite | TC[WOS]:49 TC[Scopus]:51  IF:0/0 | Submit date：2021/12/06
Graph Convolutional Networks  Hessian  Manifold Assumption  Semi-supervised Learning  
Two-order graph convolutional networks for semi-supervised classification Journal article
Sichao, Fu, Weifeng, Liu, Shuying, Li, Yicong, Zhou. Two-order graph convolutional networks for semi-supervised classification[J]. IET Image Processing, 2019, 13(14), 2763-2771.
Authors:  Sichao, Fu;  Weifeng, Liu;  Shuying, Li;  Yicong, Zhou
Favorite | TC[WOS]:16 TC[Scopus]:20  IF:2.0/2.0 | Submit date：2022/05/17
HpLapGCN: Hypergraph p-Laplacian graph convolutional networks Journal article
Fu, Sichao, Liu, Weifeng, Zhou, Yicong, Nie, Liqiang. HpLapGCN: Hypergraph p-Laplacian graph convolutional networks[J]. Neurocomputing, 2019, 362, 166-174.
Authors:  Fu, Sichao;  Liu, Weifeng;  Zhou, Yicong;  Nie, Liqiang
Favorite | TC[WOS]:37 TC[Scopus]:43  IF:5.5/5.5 | Submit date：2022/05/17
Graph Convolutional Networks  Hypergraph  P-laplacian