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Abstract: Knowledge graphs (KGs) are increasingly used in credit default prediction to model complex data relationships. However, the performance of KG embedding (KGE) is often hindered by low-quality ...

Abstract: In knowledge graph completion, most models embed entities and relations into low-dimensional vectors and use them as inputs to learn their latent interaction features. However, these models ...