3 papers
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…
cs.DB2023
An Efficient Approach for Discovering Graph Entity Dependencies (GEDs)
Dehua Liu, Selasi Kwashie, Yidi Zhang +6
Graph entity dependencies (GEDs) are novel graph constraints, unifying keys and functional dependencies, for property graphs. They have been found useful in many real-world data qu…