Researchers propose SCGFM-ART, a structure-centric framework for graph foundation models that aligns arbitrary graphs onto a shared relational atlas, enabling transferable representations across heterogeneous domains. This framework achieves state-of-the-art transferability and significantly speeds up inference time by avoiding iterative alignment at test time.