A parallel encoding strategy with anchor-conditioned message passing and a merged relation graph allows entity alignment foundation models to generalize to unseen knowledge graphs by shortening the reasoning horizon.
A prompt-based knowledge graph foundation model for uni- versal in-context reasoning
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Breaking the Reasoning Horizon in Entity Alignment Foundation Models
A parallel encoding strategy with anchor-conditioned message passing and a merged relation graph allows entity alignment foundation models to generalize to unseen knowledge graphs by shortening the reasoning horizon.