179 related articles for article (PubMed ID: 29776147)
1. Sparse dynamical Boltzmann machine for reconstructing complex networks with binary dynamics.
Chen YZ; Lai YC
Phys Rev E; 2018 Mar; 97(3-1):032317. PubMed ID: 29776147
[TBL] [Abstract][Full Text] [Related]
2. Universal data-based method for reconstructing complex networks with binary-state dynamics.
Li J; Shen Z; Wang WX; Grebogi C; Lai YC
Phys Rev E; 2017 Mar; 95(3-1):032303. PubMed ID: 28415181
[TBL] [Abstract][Full Text] [Related]
3. Statistical inference approach to structural reconstruction of complex networks from binary time series.
Ma C; Chen HS; Lai YC; Zhang HF
Phys Rev E; 2018 Feb; 97(2-1):022301. PubMed ID: 29548109
[TBL] [Abstract][Full Text] [Related]
4. Reconstructing propagation networks with natural diversity and identifying hidden sources.
Shen Z; Wang WX; Fan Y; Di Z; Lai YC
Nat Commun; 2014 Jul; 5():4323. PubMed ID: 25014310
[TBL] [Abstract][Full Text] [Related]
5. Robust reconstruction of complex networks from sparse data.
Han X; Shen Z; Wang WX; Di Z
Phys Rev Lett; 2015 Jan; 114(2):028701. PubMed ID: 25635568
[TBL] [Abstract][Full Text] [Related]
6. Forecasting synchronizability of complex networks from data.
Su RQ; Ni X; Wang WX; Lai YC
Phys Rev E Stat Nonlin Soft Matter Phys; 2012 May; 85(5 Pt 2):056220. PubMed ID: 23004856
[TBL] [Abstract][Full Text] [Related]
7. Robustness of oscillatory behavior in correlated networks.
Sasai T; Morino K; Tanaka G; Almendral JA; Aihara K
PLoS One; 2015; 10(4):e0123722. PubMed ID: 25894574
[TBL] [Abstract][Full Text] [Related]
8. Machine learning dynamical phase transitions in complex networks.
Ni Q; Tang M; Liu Y; Lai YC
Phys Rev E; 2019 Nov; 100(5-1):052312. PubMed ID: 31870001
[TBL] [Abstract][Full Text] [Related]
9. Reconstructing complex networks without time series.
Ma C; Zhang HF; Lai YC
Phys Rev E; 2017 Aug; 96(2-1):022320. PubMed ID: 28950596
[TBL] [Abstract][Full Text] [Related]
10. [Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].
Pezard L; Nandrino JL
Encephale; 2001; 27(3):260-8. PubMed ID: 11488256
[TBL] [Abstract][Full Text] [Related]
11. Universal framework for reconstructing complex networks and node dynamics from discrete or continuous dynamics data.
Zhang Y; Guo Y; Zhang Z; Chen M; Wang S; Zhang J
Phys Rev E; 2022 Sep; 106(3-1):034315. PubMed ID: 36266816
[TBL] [Abstract][Full Text] [Related]
12. Deep-learning reconstruction of complex dynamical networks from incomplete data.
Ding X; Kong LW; Zhang HF; Lai YC
Chaos; 2024 Apr; 34(4):. PubMed ID: 38574280
[TBL] [Abstract][Full Text] [Related]
13. Reconstructing direct and indirect interactions in networked public goods game.
Han X; Shen Z; Wang WX; Lai YC; Grebogi C
Sci Rep; 2016 Jul; 6():30241. PubMed ID: 27444774
[TBL] [Abstract][Full Text] [Related]
14. Mapping from structure to dynamics: a unified view of dynamical processes on networks.
Zhang J; Zhou C; Xu X; Small M
Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Aug; 82(2 Pt 2):026116. PubMed ID: 20866885
[TBL] [Abstract][Full Text] [Related]
15. Compressive Sensing Inference of Neuronal Network Connectivity in Balanced Neuronal Dynamics.
Barranca VJ; Zhou D
Front Neurosci; 2019; 13():1101. PubMed ID: 31680835
[TBL] [Abstract][Full Text] [Related]
16. Accurate detection of hierarchical communities in complex networks based on nonlinear dynamical evolution.
Zhuo Z; Cai SM; Tang M; Lai YC
Chaos; 2018 Apr; 28(4):043119. PubMed ID: 31906645
[TBL] [Abstract][Full Text] [Related]
17. Compressive-Sensing-Based Structure Identification for Multilayer Networks.
Mei G; Wu X; Wang Y; Hu M; Lu JA; Chen G
IEEE Trans Cybern; 2018 Feb; 48(2):754-764. PubMed ID: 28207405
[TBL] [Abstract][Full Text] [Related]
18. Finding nonlinear system equations and complex network structures from data: A sparse optimization approach.
Lai YC
Chaos; 2021 Aug; 31(8):082101. PubMed ID: 34470223
[TBL] [Abstract][Full Text] [Related]
19. Compressive sensing reconstruction of feed-forward connectivity in pulse-coupled nonlinear networks.
Barranca VJ; Zhou D; Cai D
Phys Rev E; 2016 Jun; 93(6):060201. PubMed ID: 27415190
[TBL] [Abstract][Full Text] [Related]
20. Recovering network topologies via Taylor expansion and compressive sensing.
Li G; Wu X; Liu J; Lu JA; Guo C
Chaos; 2015 Apr; 25(4):043102. PubMed ID: 25933650
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
