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

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

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-11
DOI
https://doi.org/10.5281/zenodo.17318281
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Dynamics and Pattern Formation
article

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

article en

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

Zenodo (CERN European Organization for Nuclear Research)
Tsinghua University (CN)
Good health and well-being
Openalex Percentile: Top 43%
Nonlinear Dynamics and Pattern Formation
DOIOpen Access PDFOpenAlex
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Materials for Discovering governing equations for network dynamics from noisy and irregularly sampled data · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS