(Step 4): Sequence extraction. Graph neural networks for global property predictions often apply a pooling function to aggregate crystal node feature vectors and produce a crystal size-invariant feature vector for downstream manipulation. Or, in the case of local property predictions like defect formation energies, extraction of a single node isolates the feature vector of interest for downstream manipulation and property prediction. Here, after t ′ total convolutions, we extract an ordered sequence of nodes,