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A deep latent space model for interpretable representation learning on directed graphs 期刊论文
NEUROCOMPUTING, 2024, 卷号: 576, 页码: 13
作者:  Yang, Hanxuan;  Kong, Qingchao;  Mao, Wenji
收藏  |  浏览/下载：19/0  |  提交时间：2024/05/30
Graph representation learning  Deep latent space model  Model interpretability  Variational auto-encoder  Directed graph  
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:  Tian, Hu;  Zhang, Xingwei;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：71/0  |  提交时间：2023/11/17
Gated recurrent unit  graph representation learning  learning dynamic dependencies  stock prediction system  
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 3, 页码: 45-53
作者:  Zeng, Zhixiong;  Xu, Nan;  Mao, Wenji;  Zeng, Daniel
Adobe PDF(2545Kb)  |  收藏  |  浏览/下载：322/47  |  提交时间：2022/09/19
Semantics  Representation learning  Task analysis  Matrix decomposition  Automation  Interference  Intelligent systems  Cross-modal Retrieval  Representation Learning  Orthogonal Decomposition  
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions 期刊论文
INFORMS JOURNAL ON COMPUTING, 2022, 页码: 19
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhao, Kang;  Liu, Maggie Wenjing;  Zeng, Daniel Dajun
Adobe PDF(1329Kb)  |  收藏  |  浏览/下载：334/74  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence