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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：121/0  |  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  
Reducing Simulation Input-Model Risk via Input Model Averaging 期刊论文
INFORMS JOURNAL ON COMPUTING, 2021, 卷号: 33, 期号: 2, 页码: 672-684
作者:  Nelson, Barry L.;  Wan, Alan T. K.;  Zou, Guohua;  Zhang, Xinyu;  Jiang, Xi
收藏  |  浏览/下载：117/0  |  提交时间：2021/10/26
input modeling  stochastic simulation  input uncertainty  
A wavelet-based learning approach assisted multiscale analysis for estimating the effective thermal conductivities of particulate composites 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 374, 页码: 28
作者:  Dong, Hao;  Nie, Yufeng;  Cui, Junzhi;  Kou, Wenbo;  Zou, Minqiang;  Han, Junyan;  Guan, Xiaofei;  Yang, Zihao
收藏  |  浏览/下载：183/0  |  提交时间：2021/04/26
Particulate composites  Effective thermal conductivities  Multiscale modeling  Artificial neural network  Wavelet transform