GNNs - how to run in production?

I keep seeing interesting results from various GNN models in the literature, but how are they actually run in production? For example, the models I've found all maintain a graph in memory, such as via PyTorch Geometric or DGL, which is great during training, but I'm skeptical that approach will work in production for inference. So, how are these models being run? Anyone here seen it done?

deeplearning dgl example found gnn gnns graph literature memory production pytorch results training via will work