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This paper presents an experimental study to compare analysis tools withmanagement systems for querying and analysing graphs. Our experiment comparesclassic graph navigational operations queries where analytics tools andmanagement systems adopt different execution strategies. Then, our experimentaddresses data science pipelines with clustering and prediction models appliedto graphs. In this kind of experiment, we underline the interest in combiningboth approaches and the interest of relying on a parallel execution platformfor executing queries.

Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs