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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：149/0  |  提交时间：2022/04/02
Network coarsening  Information diffusion  Graph data mining  
Learning with smooth Hinge losses 期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
作者:  Luo, JunRu;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：145/0  |  提交时间：2022/04/02
Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method  
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：155/0  |  提交时间：2022/04/02
Knowledge graph embedding  Graph attention mechanism  Entity typing  Link prediction  
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935
作者:  Zhang, Miao;  Li, Huiqi;  Pan, Shirui;  Chang, Xiaojun;  Zhou, Chuan;  Ge, Zongyuan;  Su, Steven
收藏  |  浏览/下载：188/0  |  提交时间：2021/10/26
Computer architecture  Training  Optimization  Neural networks  Search methods  Australia  Germanium  AutoML  neural architecture search  continual learning  catastrophic forgetting  novelty search  
A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Luo, Junru;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：168/0  |  提交时间：2022/04/02
Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures  
Robust Bayesian matrix decomposition with mixture of Gaussian noise 期刊论文
NEUROCOMPUTING, 2021, 卷号: 449, 页码: 108-116
作者:  Wang, Haohui;  Zhang, Chihao;  Zhang, Shihua
收藏  |  浏览/下载：160/0  |  提交时间：2021/10/26
Bayesian method  Matrix decomposition  Maximum a posterior  Mixture of Gaussians  
Online Active Learning for Drifting Data Streams 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Liu, Sanmin;  Xue, Shan;  Wu, Jia;  Zhou, Chuan;  Yang, Jian;  Li, Zhao;  Cao, Jie
收藏  |  浏览/下载：187/0  |  提交时间：2022/04/02
Labeling  Data models  Uncertainty  Biological system modeling  Computational modeling  Cognition  Adaptation models  Active learning  concept drift  data stream classification  online incremental learning  
Reusability report: Compressing regulatory networks to vectors for interpreting gene expression and genetic variants 期刊论文
NATURE MACHINE INTELLIGENCE, 2021, 卷号: 3, 期号: 7, 页码: 576-580
作者:  Zeng, Wanwen;  Xin, Jingxue;  Jiang, Rui;  Wang, Yong
收藏  |  浏览/下载：133/0  |  提交时间：2021/10/26
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：136/0  |  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  
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196
作者:  Zhang, Chihao;  Zhang, Shihua
收藏  |  浏览/下载：223/0  |  提交时间：2021/04/26
Matrix decomposition  Bayes methods  Data integration  Inference algorithms  Data models  Data mining  Gaussian distribution  Bayesian methods  matrix decomposition  data integration  variational Bayesian inference  maximum a posterior