Learning interpretable network dynamics via universal neural symbolic regression

In this work, we wonder to develop a computational tool LLC (Learning Law of Changes) to discover the ordinary differential equations (ODEs) from observed data of network dynamics, i.e., \(\,{\mbox{LLC}}\,:{{{\mathcal{O}}}}\to…