Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs
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...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Vargas-Solar, Genoveva Marrec, Pierre Alves, Mirian Halfeld Ferrari |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2208.09672 |
| format | Article |
| fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2208_09672</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2208_09672</sourcerecordid><originalsourceid>FETCH-LOGICAL-a672-db2b29a9fe0a6aee3f835f8cc8831b565712306b662604764eeb3c4df9821b6f3</originalsourceid><addsrcrecordid>eNpVj7tuwzAMRbV0KJJ-QKfqB-zKkiXL2QqjLyBAl-wGZVGpAMd2Jffhv6-VdOlAEAR57-Uh5LZgeamlZPcQfvxXzjnTOatVxa9JaMbTBMEPR3oMML1TCzPQ2HkcOqS9N2FdYqRuDPTjE8OSLmGwa0G_xDQlRcQ57ug8fkOw8b9HUiWHcbgkxC25ctBHvPnrG3J4ejw0L9n-7fm1edhnsH6WWcMNr6F2yEABonBaSKe7TmtRGKlkVXDBlFGKK1ZWqkQ0oiutqzUvjHJiQ-4utmfodgr-BGFpE3x7hhe_VbtW7g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs</title><source>arXiv.org</source><creator>Vargas-Solar, Genoveva ; Marrec, Pierre ; Alves, Mirian Halfeld Ferrari</creator><creatorcontrib>Vargas-Solar, Genoveva ; Marrec, Pierre ; Alves, Mirian Halfeld Ferrari</creatorcontrib><description>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.</description><identifier>DOI: 10.48550/arxiv.2208.09672</identifier><language>eng</language><subject>Computer Science - Databases</subject><creationdate>2022-08</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2208.09672$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2208.09672$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Vargas-Solar, Genoveva</creatorcontrib><creatorcontrib>Marrec, Pierre</creatorcontrib><creatorcontrib>Alves, Mirian Halfeld Ferrari</creatorcontrib><title>Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs</title><description>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.</description><subject>Computer Science - Databases</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpVj7tuwzAMRbV0KJJ-QKfqB-zKkiXL2QqjLyBAl-wGZVGpAMd2Jffhv6-VdOlAEAR57-Uh5LZgeamlZPcQfvxXzjnTOatVxa9JaMbTBMEPR3oMML1TCzPQ2HkcOqS9N2FdYqRuDPTjE8OSLmGwa0G_xDQlRcQ57ug8fkOw8b9HUiWHcbgkxC25ctBHvPnrG3J4ejw0L9n-7fm1edhnsH6WWcMNr6F2yEABonBaSKe7TmtRGKlkVXDBlFGKK1ZWqkQ0oiutqzUvjHJiQ-4utmfodgr-BGFpE3x7hhe_VbtW7g</recordid><startdate>20220820</startdate><enddate>20220820</enddate><creator>Vargas-Solar, Genoveva</creator><creator>Marrec, Pierre</creator><creator>Alves, Mirian Halfeld Ferrari</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20220820</creationdate><title>Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs</title><author>Vargas-Solar, Genoveva ; Marrec, Pierre ; Alves, Mirian Halfeld Ferrari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a672-db2b29a9fe0a6aee3f835f8cc8831b565712306b662604764eeb3c4df9821b6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer Science - Databases</topic><toplevel>online_resources</toplevel><creatorcontrib>Vargas-Solar, Genoveva</creatorcontrib><creatorcontrib>Marrec, Pierre</creatorcontrib><creatorcontrib>Alves, Mirian Halfeld Ferrari</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Vargas-Solar, Genoveva</au><au>Marrec, Pierre</au><au>Alves, Mirian Halfeld Ferrari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs</atitle><date>2022-08-20</date><risdate>2022</risdate><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.</abstract><doi>10.48550/arxiv.2208.09672</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.48550/arxiv.2208.09672 |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_arxiv_primary_2208_09672 |
| source | arXiv.org |
| subjects | Computer Science - Databases |
| title | Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T20%3A44%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparing%20graph%20data%20science%20libraries%20for%20querying%20and%20analysing%20datasets:%20towards%20data%20science%20queries%20on%20graphs&rft.au=Vargas-Solar,%20Genoveva&rft.date=2022-08-20&rft_id=info:doi/10.48550/arxiv.2208.09672&rft_dat=%3Carxiv_GOX%3E2208_09672%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |