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Prompt-fused framework for Inductive Logical Query Answering
March 20, 2024, 4:41 a.m. | Zezhong Xu, Peng Ye, Lei Liang, Huajun Chen, Wen Zhang
cs.LG updates on arXiv.org arxiv.org
Abstract: Answering logical queries on knowledge graphs (KG) poses a significant challenge for machine reasoning. The primary obstacle in this task stems from the inherent incompleteness of KGs. Existing research has predominantly focused on addressing the issue of missing edges in KGs, thereby neglecting another aspect of incompleteness: the emergence of new entities. Furthermore, most of the existing methods tend to reason over each logical operator separately, rather than comprehensively analyzing the query as a whole …
abstract arxiv challenge cs.lg framework graphs inductive issue knowledge knowledge graphs machine prompt queries query reasoning research type
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