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Comparing Graph Data Science Libraries for Querying and Analysing Datasets: Towards Data Science Queries on Graphs

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Service-Oriented Computing – ICSOC 2021 Workshops (ICSOC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13236))

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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 of combining both approaches and the interest of relying on a parallel execution platform for executing queries.

This work was funded by the Quasimodo action in U. Orléans and the DOING action of the GDR MADICS.

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Notes

  1. 1.

    https://neo4j.com/docs/graph-data-science/current/algorithms/label-propagation/.

  2. 2.

    https://github.com/gevargas/doing-graph-datascience-queries.

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Author information

Authors and Affiliations

  1. CNRS, Univ Lyon, INSA Lyon, UCBL, LIRIS, UMR5205, 69622, Paris, France

    Genoveva Vargas-Solar

  2. Ecole Natoinal Supérieur de Lyon, Lyon, France

    Pierre Marrec

  3. University of Orléans, LIFO, Orléans, France

    Mirian Halfeld Ferrari Alves

Authors
  1. Genoveva Vargas-Solar
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  2. Pierre Marrec
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  3. Mirian Halfeld Ferrari Alves
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Corresponding author

Correspondence to Genoveva Vargas-Solar .

Editor information

Editors and Affiliations

  1. Zayed University, Dubai, United Arab Emirates

    Hakim Hacid

  2. Zayed University, Abu Dhabi, United Arab Emirates

    Monther Aldwairi

  3. Deakin University, Waurn Ponds, VIC, Australia

    Mohamed Reda Bouadjenek

  4. National Research Council C.N.R., Pisa, Italy

    Marinella Petrocchi

  5. University of Lyon, Villeurbanne, France

    Noura Faci

  6. Zayed University, Dubai, United Arab Emirates

    Fatma Outay

  7. Macquarie University, Sydney, NSW, Australia

    Amin Beheshti

  8. Technical University of Berlin, Berlin, Germany

    Lauritz Thamsen

  9. Royal Melbourne Institute of Technology, Melbourne, VIC, Australia

    Hai Dong

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Vargas-Solar, G., Marrec, P., Halfeld Ferrari Alves, M. (2022). Comparing Graph Data Science Libraries for Querying and Analysing Datasets: Towards Data Science Queries on Graphs. In: Hacid, H., et al. Service-Oriented Computing – ICSOC 2021 Workshops. ICSOC 2021. Lecture Notes in Computer Science, vol 13236. Springer, Cham. https://doi.org/10.1007/978-3-031-14135-5_16

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  • DOI: https://doi.org/10.1007/978-3-031-14135-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14134-8

  • Online ISBN: 978-3-031-14135-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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