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Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
June 21, 2024, 4:44 a.m. | Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song
cs.CL updates on arXiv.org arxiv.org
Abstract: Abductive reasoning is the process of making educated guesses to provide explanations for observations. Although many applications require the use of knowledge for explanations, the utilization of abductive reasoning in conjunction with structured knowledge, such as a knowledge graph, remains largely unexplored. To fill this gap, this paper introduces the task of complex logical hypothesis generation, as an initial step towards abductive logical reasoning with KG. In this task, we aim to generate a complex …
abstract applications arxiv cs.ai cs.cl graph graphs hypothesis knowledge knowledge graph knowledge graphs making process reasoning replace through type
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