Work

Materials for Discovering governing equations for network dynamics from noisy and irregularly sampled data

Year: 2025

Type: article

Abstract: Dataset Overview This dataset documents all code and data employed in the research titled Discovering governing equations for network dynamics from noisy and irregularly sampled data. 1. Network Topologies 2. Network Dynamics 3. Code of the Proposed Model, GLiND

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17318280

Authors: Dong, Bingchen, Liang, Zhenglin

Institution: Tsinghua University

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7088217695

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