Lightweight Label Propagation for Large-Scale Network Data

Article Properties
Cite
Li, Yu-Feng, and De-Ming Liang. “Lightweight Label Propagation for Large-Scale Network Data”. IEEE Transactions on Knowledge and Data Engineering, 2019, pp. 1-1, https://doi.org/10.1109/tkde.2019.2949297.
Li, Y.-F., & Liang, D.-M. (2019). Lightweight Label Propagation for Large-Scale Network Data. IEEE Transactions on Knowledge and Data Engineering, 1-1. https://doi.org/10.1109/tkde.2019.2949297
Li, Yu-Feng, and De-Ming Liang. “Lightweight Label Propagation for Large-Scale Network Data”. IEEE Transactions on Knowledge and Data Engineering, 2019, 1-1. https://doi.org/10.1109/tkde.2019.2949297.
Li YF, Liang DM. Lightweight Label Propagation for Large-Scale Network Data. IEEE Transactions on Knowledge and Data Engineering. 2019;:1-.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Towards a theoretical foundation for Laplacian-based manifold methods Journal of Computer and System Sciences
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
148 2008
Gradient-based learning applied to document recognition Proceedings of the IEEE
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
18,984 1998
Stochastic gradient descent tricks 2012
Large-scale SVD and manifold learning 2013
Graph quality judgement: A large margin expedition 2016