April 11, 2024, 4:42 a.m. | Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.07198v1 Announce Type: cross
Abstract: Complex logical query answering (CLQA) in knowledge graphs (KGs) goes beyond simple KG completion and aims at answering compositional queries comprised of multiple projections and logical operations. Existing CLQA methods that learn parameters bound to certain entity or relation vocabularies can only be applied to the graph they are trained on which requires substantial training time before being deployed on a new graph. Here we present UltraQuery, an inductive reasoning model that can zero-shot answer …

abstract arxiv beyond cs.ai cs.lg graph graphs knowledge knowledge graph knowledge graphs learn multiple operations parameters queries query reasoning simple the graph type zero-shot

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