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Mining Keys for Graphs
Journal article

Mining Keys for Graphs

Abstract

Keys for graphs are a class of data quality rules that use topological and value constraints to uniquely identify entities in a data graph. They have been studied to support object identification, knowledge fusion, data deduplication, and social network reconciliation. Manual specification and discovery of graph keys is tedious and infeasible over large-scale graphs. To make GKeys useful in practice, we study the GKey discovery problem, and …

Authors

Alipourlangouri M; Chiang F

Journal

Data & Knowledge Engineering, Vol. 150, ,

Publisher

Elsevier

Publication Date

March 2024

DOI

10.1016/j.datak.2023.102274

ISSN

0169-023X