1. Learning with standard and adaptive readout-based VGAEs exclusively on the low-fidelity data (Figure , step 2, and Figure , bottom) that is available in large, diverse, and heterogeneous datasets to assert their capacity to learn structured concepts (Section 2.1). This is a foundational contribution that indicates the potential of adaptive readouts for fitting the data and their ability to transfer knowledge from latent embeddings to novel tasks via fine-tuning operations.