Enhancing Entity Alignment on Probabilistic Knowledge Graphs

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Yunfei Li, Lu Chen, Chengfei Liu, Rui Zhou, Jianxin Li

Published: 2024, Last Modified: 15 Jan 2026ICDM 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Probabilistic knowledge graphs (PKGs) improve traditional knowledge graphs by characterizing the inherent uncertainty of knowledge. In PKGs, each triple $(e_{1}, r,e_{2})$, representing that entity $e_{1}$ has a relationship $r$ with entity $e_{2}$, is associated with a probability $\phi$ indicating its likelihood of being true. PKGs have gained popularity in various domains, such as ProBase [22] and NELL [13].