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Heterogeneous Graph Neural Network With Multi-View Representation Learning 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 11, 页码: 11476-11488
作者:  Shao, Zezhi;  Xu, Yongjun;  Wei, Wei;  Wang, Fei;  Zhang, Zhao;  Zhu, Feida
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
Heterogeneous graphs  graph neural networks  graph embedding  
Learning node representation via Motif Coarsening 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 278, 页码: 12
作者:  Yan, Rong;  Bao, Peng;  Shen, Huawei;  Li, Xuanya
收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Graph representation learning  Motif Coarsening  MotifRe-Weighting  
CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 226, 页码: 11
作者:  Zhu, Xiaofei;  Li, Chenghong;  Guo, Jiafeng;  Dietze, Stefan
收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Network representation learning  Deep learning  Graph convolutional networks  Node classification  
An anomaly aware network embedding framework for unsupervised anomalous link detection 期刊论文
DATA MINING AND KNOWLEDGE DISCOVERY, 2023, 页码: 34
作者:  Duan, Dongsheng;  Zhang, Cheng;  Tong, Lingling;  Lu, Jie;  Lv, Cunchi;  Hou, Wei;  Li, Yangxi;  Zhao, Xiaofang
收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Anomalous link detection  Network embedding  Graph auto-encoder  Graph convolution network  
Node classification across networks via category-level domain adaptive network embedding 期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2023, 页码: 24
作者:  Shi, Boshen;  Wang, Yongqing;  Shao, Jiangli;  Shen, Huawei;  Li, Yangyang;  Cheng, Xueqi
收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Node classification across networks  Graph neural networks  Domain adaptation  Transfer learning  
Balanced masking strategy for multi-label image classification 期刊论文
NEUROCOMPUTING, 2023, 卷号: 522, 页码: 64-72
作者:  Yuan, Jin;  Zhang, Yao;  Shi, Zhongchao;  Geng, Xin;  Fan, Jianping;  Rui, Yong
收藏  |  浏览/下载:14/0  |  提交时间:2023/07/12
Multi -label image classification  Data imbalance  Masking strategy  Graph neural network  
附加特征图增强的图卷积神经网络 期刊论文
计算机学报, 2023, 卷号: 46, 期号: 9, 页码: 1900
作者:  孙隽姝;  王树徽;  杨晨雪;  黄庆明;  郑振刚
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
graph representation learning  graph neural networks  message passing  graph convolutional networks  node classification  图表示学习  图神经网络  信息传播  图卷积网络  节点分类