中国科学院重庆绿色智能技术研究院机构知识库

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	A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 卷号: 17, 期号: 3, 页码: 733-746 作者:  Bi, Fanghui;  He, Tiantian;  Luo, Xin 收藏  |  浏览/下载：31/0  |  提交时间：2024/08/16 Knowledge acquisition  data science  high-dimensional and incomplete data  neural network  fast nonnegative AutoEncoder  latent feature analysis  link prediction  network representation learning
	A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 12, 页码: 9756-9773 作者:  Luo, Xin;  Wu, Hao;  Wang, Zhi;  Wang, Jianjun;  Meng, Deyu 收藏  |  浏览/下载：94/0  |  提交时间：2022/12/26 Tensors  Computational modeling  Numerical models  Data models  Convergence  Analytical models  Adaptation models  Dynamically weighted directed network  terminal interaction pattern analysis system  latent factorization of tensors  high dimensional and incomplete tensor  link prediction  representation learning  latent feature
	Application of network link prediction in drug discovery 期刊论文 BMC Bioinformatics, 2021, 卷号: 22, 期号: 1 作者:  Abbas,Khushnood;  Abbasi,Alireza;  Dong,Shi;  Niu,Ling;  Yu,Laihang;  Chen,Bolun;  Cai,Shi-Min;  Hasan,Qambar 收藏  |  浏览/下载：67/0  |  提交时间：2021/05/17 Data-driven drug discovery  Network link prediction  Poly-pharmacy  Poly-pharmacy side effects prediction  Drug-target prediction