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cs.DB2024
When GDD meets GNN: A Knowledge-driven Neural Connection for Effective Entity Resolution in Property Graphs
Junwei Hu, Michael Bewong, Selasi Kwashie +4
This paper studies the entity resolution (ER) problem in property graphs. ER is the task of identifying and linking different records that refer to the same real-world entity. It i…
cs.DB2023
FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery
Guangtong Zhou, Selasi Kwashie, Yidi Zhang +5
This paper studies the discovery of approximate rules in property graphs. We propose a semantically meaningful measure of error for mining graph entity dependencies (GEDs) at almos…