ML: Dynamics

Persistent Spectral Noise for Recurrent GNNs

Modify a recurrent message-passing GNN so that every propagation step adds fresh independent Gaussian noise to every node and feature channel. Unlike dropout or a one-time perturbation, the noise remains active throughout the recurrence and creates a nonzero stationary graph-frequency energy floor, preventing long-horizon node representations from converging to the constant-node subspace.