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2024年11月1日 · In this paper, we propose a Multiscale Relational-gated Graph Network (MRGN) for knowledge graph entity alignment using only relational information. First, MRGN uses prompt learning to supplement the number of relation triples and assigns different weights to the relations in the supplemented relation triples and the original relation triples.

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1. We propose MRGN, an EA model that uses prompt learning to enhance relational information and separate entities and relations for multi-scale convo-lution. MRGN enhances the information of KGs using only relation triples. 2. Design a prompt learning template for relational enhancement, and use a