Pith. sign in

REVIEW

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

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2208.09672 v1 pith:EX3NDF5B submitted 2022-08-20 cs.DB

Genoveva Vargas-Solar , Pierre Marrec , Mirian Halfeld Ferrari Alves This is my paper · ORCID
classification cs.DB
keywords dataexperimentgraphsqueriesscienceanalysingexecutiongraph
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

This paper presents an experimental study to compare analysis tools with management systems for querying and analysing graphs. Our experiment compares classic graph navigational operations queries where analytics tools and management systems adopt different execution strategies. Then, our experiment addresses data science pipelines with clustering and prediction models applied to graphs. In this kind of experiment, we underline the interest in combining both approaches and the interest of relying on a parallel execution platform for executing queries.

Discussion (0). Continue with ORCID to comment.

Pith tools