SCGFM-ART: Amortized Relational Transport for Structure-Centric Graph Foundation Models
Graph foundation models (GFMs) aim to learn transferable representations across severely heterogeneous graph domains. However, severe domain shifts in topology, graph scale, and feature semantics impede the construction of a unified, domain-agnostic representation space. To address this, we propose SCGFM-ART, a structu...
Xiao-Dong He, Xin-Cheng Wang, Zhao Kang
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