AI RESEARCH
KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning
arXiv CS.AI
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ArXi:2605.14907v1 Announce Type: new Knowledge graph (KG) foundation models aim to generalize across graphs with unseen entities and relations by learning transferable relational structure. However, most existing methods primarily emphasize relation-level universality, while in-context learning, the other pillar of foundation models remains under-explored for KG reasoning.