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Deep Contrastive Multiview Network Embedding 会议论文
Proceedings of the 31st ACM International Conference on Information and Knowledge Management, New York, NY, USA, 2022-10-17
作者:  Mengqi Zhang;  Yanqiao Zhu;  Qiang Liu;  Shu Wu;  Liang Wang
Adobe PDF(1307Kb)  |  收藏  |  浏览/下载：106/33  |  提交时间：2023/07/03
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：272/53  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun;  Yang, Jun;  Xu, Yancai;  Hou, Jiachen;  Xin, Kejun;  Wang, Fei-Yue
Adobe PDF(4053Kb)  |  收藏  |  浏览/下载：264/41  |  提交时间：2022/03/17
Task analysis  Optimization  Generative adversarial networks  Computational modeling  Automation  Training  Standards  Embedding  generative adversarial network  network alignment (NA)  optimal transport  unsupervised learning  
Multi-aspect self-supervised learning for heterogeneous information network 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:  Che, Feihu;  Tao, Jianhua;  Yang, Guohua;  Liu, Tong;  Zhang, Dawei
Adobe PDF(2661Kb)  |  收藏  |  浏览/下载：211/43  |  提交时间：2021/12/28
Heterogeneous information network  Self-supervised  Contrastive learning  Graph neural network  
Self-supervised graph representation learning via bootstrapping 期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 88-96
作者:  Che, Feihu;  Yang, Guohua;  Zhang, Dawei;  Tao, Jianhua;  Liu, Tong
Adobe PDF(1379Kb)  |  收藏  |  浏览/下载：338/57  |  提交时间：2021/11/03
Graph representation learning  Self-supervised  Bootstrapping  Graph neural network  
Graph Contrastive Learning with Adaptive Augmentation 会议论文
, Online, 2021-4
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu;  Wang, Liang
Adobe PDF(2989Kb)  |  收藏  |  浏览/下载：146/15  |  提交时间：2022/06/13
Exploring Exposure Bias in Recommender Systems from Causality Perspective 会议论文
, Hainan Island, China, 2021-12-06
作者:  Yang, Yi;  Li, Meng;  Hu, Xueyang;  Pan, Guoyang;  Huang, Weixing;  Wang, Jian;  Wang,Yun
Adobe PDF(523Kb)  |  收藏  |  浏览/下载：195/43  |  提交时间：2022/03/31
exposure bias  causal inference  implicit feedback  survey  causality  recommender system  
Online estimation of voltage stability margin via deep neural network with consideration of the local structures in power grid 期刊论文
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2020, 页码: 17
作者:  Bai, Xiwei;  Tan, Jie;  Ma, Shiying;  Liu, Daowei
收藏  |  浏览/下载：129/0  |  提交时间：2021/01/07
deep neural network  grid topology  local structures  voltage stability margin  
Personalized graph neural networks with attention mechanism for session-aware recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 34, 期号: 8, 页码: 3946-3957
作者:  Mengqi Zhang;  Shu Wu;  Meng Gao;  Xin Jiang;  Ke Xu;  Liang Wang
Adobe PDF(1277Kb)  |  收藏  |  浏览/下载：108/43  |  提交时间：2023/07/03
PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3115-3127
作者:  Yu, Shaowei;  Yang, Xuebing;  Zhang, Wensheng
浏览  |  Adobe PDF(1959Kb)  |  收藏  |  浏览/下载：283/42  |  提交时间：2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification