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BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization

arXiv cs.AI · 2026-05-26 Cached

Introduces BoxLitE, a knowledge base embedding model for DL-LiteH that leverages convex optimization to achieve weakly faithful embeddings. The paper shows that for any satisfiable DL-LiteH KB, a BoxLitE embedding exists with desirable faithfulness properties.

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