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Network diffusion for scalable embedding of massive single-cell ATAC-seq data 期刊论文
SCIENCE BULLETIN, 2021, 卷号: 66, 期号: 22, 页码: 2271-2276
作者:  Dong, Kangning;  Zhang, Shihua
收藏  |  浏览/下载：115/0  |  提交时间：2022/04/02
Towards embedding information diffusion data for understanding big dynamic networks 期刊论文
NEUROCOMPUTING, 2021, 卷号: 466, 页码: 265-284
作者:  Yang, Hong;  Zhang, Peng;  Wang, Haishuai;  Zhou, Chuan;  Li, Zhao;  Gao, Li;  Tan, Qingfeng
收藏  |  浏览/下载：133/0  |  提交时间：2022/04/02
Network coarsening  Information diffusion  Graph data mining  
Learning graph attention-aware knowledge graph embedding 期刊论文
NEUROCOMPUTING, 2021, 卷号: 461, 页码: 516-529
作者:  Li, Chen;  Peng, Xutan;  Niu, Yuhang;  Zhang, Shanghang;  Peng, Hao;  Zhou, Chuan;  Li, Jianxin
收藏  |  浏览/下载：136/0  |  提交时间：2022/04/02
Knowledge graph embedding  Graph attention mechanism  Entity typing  Link prediction  
Generalized linking theorem with applications to nonautonomous Hamiltonian systems and Dirac equations on compact spin manifold 期刊论文
COMMUNICATIONS IN CONTEMPORARY MATHEMATICS, 2021, 卷号: 23, 期号: 06, 页码: 25
作者:  Liu, Yanyan;  Li, Chong;  Li, Shujie
收藏  |  浏览/下载：133/0  |  提交时间：2021/10/26
Strongly indefinite superlinear problem  prescribed number of nontrivial solutions  nonautonomous Hamiltonian systems  Dirac equations on compact spin manifold  
Matrix optimization based Euclidean embedding with outliers 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2021, 卷号: 79, 期号: 2, 页码: 235-271
作者:  Zhang, Qian;  Zhao, Xinyuan;  Ding, Chao
收藏  |  浏览/下载：137/0  |  提交时间：2021/10/26
Euclidean embedding  Outliers  Matrix optimizationg  Low-rank matrix  Error bound  
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Liu, Yixin;  Li, Zhao;  Pan, Shirui;  Gong, Chen;  Zhou, Chuan;  Karypis, George
收藏  |  浏览/下载：120/0  |  提交时间：2022/04/02
Anomaly detection  Task analysis  Graph neural networks  Unsupervised learning  Predictive models  Pattern matching  Training  Anomaly detection  attributed networks  contrastive self-supervised learning  graph neural networks (GNNs)  unsupervised learning  
Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions 期刊论文
MATHEMATICS OF OPERATIONS RESEARCH, 2021, 卷号: 46, 期号: 1, 页码: 61-81
作者:  Zhang, Hui;  Dai, Yu-Hong;  Guo, Lei;  Peng, Wei
收藏  |  浏览/下载：142/0  |  提交时间：2021/04/26
incremental aggregated gradient  linear convergence  Lipschitz-like/convexity  relative smoothness  Bregman distance growth