Can GraphModels be extended (add layers for example) or used in transfer learning?

I am testing a few models, but the SavedModels that I find (In the hub for example) and are loaded with GraphModels API does not seem to allow any customization of the Neural Net…

Is this correct ? Are SavedModels currently to use “as-is” and only LayersModel can be retrained or modified ?