Xiaodong He

SCGFM-ART, a structure-centric GFM framework that aligns arbitrary graphs onto a shared relational atlas via Amortized Relational Transport, achieves state-of-the-art transferability and establishes coordinate fidelity bounds, prove stability under predicted transport plans, and derive an amortized coverage bound that guarantees the authors' learning objective tightly surrogates ideal relational coverage.