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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks
期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2022, 卷号: 40, 期号: 3, 页码: 29
Authors:
Zhang, Ge
;
Li, Zhao
;
Huang, Jiaming
;
Wu, Jia
;
Zhou, Chuan
;
Yang, Jian
;
Gao, Jianliang
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View/Download:21/0
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Submit date:2022/04/29
Online e-commerce platforms
fraud detection system
graph neural networks
A Comprehensive Survey on Community Detection With Deep Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21
Authors:
Su, Xing
;
Xue, Shan
;
Liu, Fanzhen
;
Wu, Jia
;
Yang, Jian
;
Zhou, Chuan
;
Hu, Wenbin
;
Paris, Cecile
;
Nepal, Surya
;
Jin, Di
;
Sheng, Quan Z.
;
Yu, Philip S.
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View/Download:13/0
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Submit date:2022/04/29
Deep learning
Taxonomy
Optimization
Partitioning algorithms
Clustering algorithms
Social networking (online)
Peer-to-peer computing
Community detection
deep learning
graph neural network
network representation
social networks
p A Mixed Wavelet-Learning Method of Predicting Macroscopic Effective Heat Transfer Conductivities of Braided Composite Materials
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2022, 卷号: 31, 期号: 2, 页码: 593-625
Authors:
Dong, Hao
;
Kou, Wenbo
;
Han, Junyan
;
Linghu, Jiale
;
Zou, Minqiang
;
Cui, Junzhi
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  |  
View/Download:9/0
  |  
Submit date:2022/04/02
Braided composite materials
macroscopic effective heat transfer conductivities
multi-scale modeling
neural networks
wavelet transform
API-GNN: attribute preserving oriented interactive graph neural network
期刊论文
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2022, 页码: 20
Authors:
Zhou, Yuchen
;
Shang, Yanmin
;
Cao, Yanan
;
Li, Qian
;
Zhou, Chuan
;
Xu, Guandong
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  |  
View/Download:8/0
  |  
Submit date:2022/04/02
Data mining
Graph neural networks
Social analysis
Representation learning
Data-driven peakon and periodic peakon solutions and parameter discovery of some nonlinear dispersive equations via deep learning
期刊论文
PHYSICA D-NONLINEAR PHENOMENA, 2021, 卷号: 428, 页码: 15
Authors:
Wang, Li
;
Yan, Zhenya
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View/Download:8/0
  |  
Submit date:2022/04/02
Nonlinear dispersive equation
Initial-boundary value conditions
Physics-informed neural networks
Deep learning
Data-driven peakon and periodic peakon
solutions Data-driven parameter discovery
OnsagerNet: Learning stable and interpretable dynamics using a generalized Onsager principle
期刊论文
PHYSICAL REVIEW FLUIDS, 2021, 卷号: 6, 期号: 11, 页码: 32
Authors:
Yu, Haijun
;
Tian, Xinyuan
;
Weinan, E.
;
Li, Qianxiao
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  |  
View/Download:9/0
  |  
Submit date:2022/04/02
A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4627-4638
Authors:
Yu, Tengteng
;
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Sun, Jie
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  |  
View/Download:7/0
  |  
Submit date:2022/04/02
Convergence
Convex functions
Risk management
Gradient methods
Learning systems
Sun
Barzilai-Borwein (BB) method
empirical risk minimization (ERM)
proximal method
stochastic gradient
trust-region
Deep learning neural networks for the third-order nonlinear Schrodinger equation: bright solitons, breathers, and rogue waves
期刊论文
COMMUNICATIONS IN THEORETICAL PHYSICS, 2021, 卷号: 73, 期号: 10, 页码: 9
Authors:
Zhou, Zijian
;
Yan, Zhenya
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View/Download:7/0
  |  
Submit date:2022/04/02
third-order nonlinear Schrodinger equation
deep learning
data-driven solitons
data-driven parameter discovery
Deep learning neural networks for the third-order nonlinear Schr?dinger equation: bright solitons, breathers, and rogue waves
期刊论文
Communications in Theoretical Physics, 2021, 卷号: 73, 期号: 10
Authors:
Zhou,Zijian
;
Yan,Zhenya
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View/Download:10/0
  |  
Submit date:2022/04/02
third-order nonlinear Schr?dinger equation
deep learning
data-driven solitons
data-driven parameter discovery
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
Authors:
Zhang, Miao
;
Li, Huiqi
;
Pan, Shirui
;
Chang, Xiaojun
;
Zhou, Chuan
;
Ge, Zongyuan
;
Su, Steven
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  |  
View/Download:24/0
  |  
Submit date:2021/10/26
Computer architecture
Training
Optimization
Neural networks
Search methods
Australia
Germanium
AutoML
neural architecture search
continual learning
catastrophic forgetting
novelty search