Graph Databases: Foundations and Data Science Applications: Course 1

Graphs have emerged as a unifying abstraction for modeling and analyzing interconnected data across a wide range of application domains, including fraud detection, genomics, recommender systems, social network analysis, and enterprise knowledge management.

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Published
2025-06-30
DOI
https://doi.org/10.1145/3769394.3769396
Primary Topic
Graph Theory and Algorithms
Type
article
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article

Graph Databases: Foundations and Data Science Applications: Course 1

Stefania Dumbrava
Graph Theory and Algorithms
article

Graph Databases: Foundations and Data Science Applications: Course 1

Stefania Dumbrava
article en

Abstract

Graphs have emerged as a unifying abstraction for modeling and analyzing interconnected data across a wide range of application domains, including fraud detection, genomics, recommender systems, social network analysis, and enterprise knowledge management.

Orange (France) (FR), Institut Mines-Télécom (FR), Institut Polytechnique de Paris (FR)
Openalex Percentile: Top 73%
Graph Theory and Algorithms
DOISourceOpenAlex
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Graph Databases: Foundations and Data Science Applications: Course 1 — Stefania Dumbrava · (2025) | TGRS Research Map | TGRS