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Learnable Graph Matching: A Practical Paradigm for Data Association 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 卷号: 46, 期号: 7, 页码: 4880-4895
作者:  He, Jiawei;  Huang, Zehao;  Wang, Naiyan;  Zhang, Zhaoxiang
Adobe PDF(3520Kb)  |  收藏  |  浏览/下载：40/9  |  提交时间：2024/06/18
Graph matching  data association  multiple object tracking  image matching  
Clustering Enhanced Multiplex Graph Contrastive Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Yuan, Ruiwen;  Tang, Yongqiang;  Wu, Yajing;  Zhang, Wensheng
收藏  |  浏览/下载：60/0  |  提交时间：2024/03/27
Contrastive learning  graph representation learning  multiplex graph  multiview graph clustering  
Target Controllability of Multiplex Networks With Weighted Interlayer Edges 期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 卷号: 11, 期号: 1, 页码: 313-325
作者:  Ding, Jie;  Zhang, Yaozhong;  Song, Kun;  Li, Guoqi;  Wang, Wei;  Liu, Kexin
收藏  |  浏览/下载：52/0  |  提交时间：2024/03/26
Multiplex networks  weighted networks  target controllability  minimum cost max flow  
Meta-path infomax joint structure enhancement for multiplex network representation learning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14
作者:  Yuan, Ruiwen;  Wu, Yajing;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2083Kb)  |  收藏  |  浏览/下载：97/8  |  提交时间：2023/11/17
Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning  
Driving EEG based multilayer dynamic brain network analysis for steering process 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 207, 页码: 17
作者:  Chang, Wenwen;  Meng, Weiliang;  Yan, Guanghui;  Zhang, Bingtao;  Luo, Hao;  Gao, Rui;  Yang, Zhifei
Adobe PDF(13070Kb)  |  收藏  |  浏览/下载：380/86  |  提交时间：2022/09/19
Multi -layer Networks  Functional Connectivity  Electroencephalogram (EEG)  Driving Intention  Feature Extraction  Driving Behavior  
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：351/81  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
SegDQ: Segmentation assisted multi-object tracking with dynamic query-based transformers 期刊论文
NEUROCOMPUTING, 2022, 卷号: 481, 页码: 91-101
作者:  Liu, Yating;  Bai, Tianxiang;  Tian, Yonglin;  Wang, Yutong;  Wang, Jiangong;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(2635Kb)  |  收藏  |  浏览/下载：341/49  |  提交时间：2022/06/06
Multi-object tracking  Transformer  Semantic task  Dynamic query  
Dynamic reconfiguration of human brain networks across altered states of consciousness 期刊论文
BEHAVIOURAL BRAIN RESEARCH, 2022, 卷号: 419, 页码: 11
作者:  Liu, Haiyang;  Hu, Ke;  Peng, Yingjie;  Tian, Xiaohan;  Wang, Meng;  Ma, Bo;  Wu, Youxuan;  Sun, Wanchen;  Liu, Bing;  Li, Ang;  Han, Ruquan
Adobe PDF(6615Kb)  |  收藏  |  浏览/下载：320/23  |  提交时间：2022/06/06
Functional magnetic resonance imaging  Multilayer networks  Dynamic functional connectivity  Consciousness  Sedation  Dexmedetomidine  
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：326/55  |  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：257/52  |  提交时间：2021/12/28
Heterogeneous information network  Self-supervised  Contrastive learning  Graph neural network