Discovering network dynamics with neural symbolic regression

2025/10/23 by Zihan Yu, Jingtao Ding, Yong Li · 1 voice · 4 citations
Computer Science · Physics and Astronomy · #Artificial neural network #Benchmark (surveying) #Bridge (graph theory) #Complex dynamics #Dynamics (music) #Evolutionary Algorithms and Applications #Model Reduction and Neural Networks #Network dynamics #Neural Networks and Applications #Node (physics) #Regression

paper · doi:10.1038/s43588-025-00893-8

published in Nature Computational Science 6(2), 156-168 (Nature Portfolio)

openalex publication_date 2025/10/23 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/23

Citations

• Impulses and Physiological States in Theoretical Models of Nerve Membrane

Cited by

• Graph neural networks uncover structure and functions underlying the activity of simulated neural assemblies
• A unified framework for identifying influential nodes in hypergraphs
• Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics. [europepmc]

Discussions

• **Discovering network dynamics** One more on estimating dynamics of complex systems, this time with symbolic regression doi.org/10.1038/s435... [bsky, 20 points, 0 comments]