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20242026
most citedLearning Networked Dynamical System Models with Weak Form and Graph Neural Networks

1 citations · 1 across the 3 of their papers we have counts for

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math.NA2025

A model-free method for discovering symmetry in differential equations

Max Kreider, John Harlim, Daning Huang

Symmetry in differential equations reveals invariances and offers a powerful means to reduce model complexity. Lie group analysis characterizes these symmetries through infinitesim…

math.NA2024

Learning Coarse-Grained Dynamics on Graph

Yin Yu, John Harlim, Daning Huang +1

We consider a Graph Neural Network (GNN) non-Markovian modeling framework to identify coarse-grained dynamical systems on graphs. Our main idea is to systematically determine the G…