QUERY2BOX: REASONING OVER KNOWLEDGE GRAPHS IN VECTOR SPACE USING BOX EMBEDDINGS

Answering complex logical queries on large-scale incomplete knowledge graphs (KGs) is a fundamental yet challenging task. Recently, a promising approach to this problem has been to embed KG entities as well as the query into a vector space such that entities that answer the query are embedded close to the query.

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Hongyu Ren, Weihua Hu, Jure Leskovec (2025). Dataset: QUERY2BOX: REASONING OVER KNOWLEDGE GRAPHS IN VECTOR SPACE USING BOX EMBEDDINGS. https://doi.org/10.57702/4ulyuqxk

DOI retrieved: January 2, 2025

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Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.2002.05969
Author Hongyu Ren
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Weihua Hu
Jure Leskovec
Homepage http://snap.stanford.edu/