1 citations · 1 across the 10 of their papers we have counts for
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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…
OutCenTR: A novel semi-supervised framework for predicting exploits of vulnerabilities in high-dimensional datasets
Hadi Eskandari, Michael Bewong, Sabih ur Rehman
An ever-growing number of vulnerabilities are reported every day. Yet these vulnerabilities are not all the same; Some are more targeted than others. Correctly estimating the likel…
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…