Web071 high-order proximity for dangling entity detection. 072 Despite a fairly high cosine similarity, the source 073 entity 4 is not the nearest neighbor of target entity 074 B, indicating that 4 is likely to be dangling. In con-075 trast, 1 and A are mutual nearest neighbors even 076 with a relatively low similarity, indicating that 1 is WebNSF Public Access; Search Results; Accepted Manuscript: Dangling-Aware Entity Alignment with Mixed High-Order Proximities

Semi-constraint Optimal Transport for Entity Alignment with Dangling …

WebWe further discover that the dangling entity detection module can, in turn, improve alignment learning and the final performance. The contributed resource is publicly available to foster further research. This paper studies a new problem setting of entity alignment for knowledge graphs (KGs). Since KGs possess different sets of entities, there ... WebJun 4, 2024 · We propose three techniques for dangling entity detection that are based on the distribution of nearest-neighbor distances, i.e., nearest neighbor classification, marginal ranking and background ... fl ortho deland fl

Dangling-Aware Entity Alignment with Mixed High-Order …

WebJan 1, 2024 · We propose three techniques for dangling entity detection that are based on the distribution of nearest-neighbor distances, i.e., nearest neighbor classification, marginal ranking and background ... WebWe propose three techniques for dangling entity detection that are based on the distribution of nearest-neighbor distances, i.e., nearest neighbor classification, marginal … WebMar 11, 2024 · In the experimental part, we first show the superiority of SoTead on a commonly-used entity alignment dataset. Besides, to analyze the ability for dangling entity detection with other baselines, we construct a medical cross-lingual knowledge graph dataset, MedED, where our SoTead also reaches state-of-the-art performance. READ … fl. orthopedic