Skip to content

Analytics-aware graph database modeling

Graphs are a fundamental structure for modeling many real world domains and applications. They have emerged in various fields such as social, informational and transportation networks. The hetero geneity and dynamicity of these networks pose challenges to traditional techniques for data modeling, storage and analysis of data.

Managing graph-structured data using native graph structures and algorithms is the key for its efficient analysis. Therefore, the graph should be modeled using nodes and edges, and explored using graph algorithms, such as pattern matching and k-neighborhood.

In this paper, we introduce a novel model for management of graph data. The aim of our model is to provide analysts with a set of simple, well-defined, and adaptable components to perform complex graph modeling and analysis tasks.

Amine Ghrab, Oscar Romero, Sabri Skhiri, and Esteban Zimanyi, Analytics-Aware Graph Database Modeling, EURA NOVA technical series.

Click here to access the paper.

Releated Posts

Internships 2023

This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your contribution to the company.
Read More

AI For Aviation

Our team works with EUROCONTROL and WaPT to safely reduce wake separation between flights. Read on to read more about the two papers they recently published!
Read More