Inference for multiple heterogeneous networks with a common invariant subspace

We group COSIE with Omnibus and UASE as joint embedding methods that presuppose a shared invariant subspace across time slices; in riva2026random we argue that ODE-driven latent positions generally violate this assumption, so applying COSIE distorts the recovered trajectory.