Graph Neural Ordinary Differential Equations

Continuous‑depth graph models: framing and theoretical grounding From discrete layers to a Cauchy formulation At first glance the central contribution is straightforward yet conceptually rich: recasting graph neural networks as a continuous‑depth obj...