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KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning
Knowledge graph (KG) foundation models aim to generalize to graphs with unseen entities and relations by learning transferable relational structure. Most existing methods, however, focus on relation-level universality, leaving in-context learning, the other pillar of foundation models, largely unexp
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