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