Integrating connection search in graph queries

Autor: Anadiotis, Angelos Christos, Manolescu, Ioana, Mohanty, Madhulika

Graph data management and querying has many practical applications. When graphs are very heterogeneous and/or users are unfamiliar with their structure, they may need to find how two or more groups of nodes are connected in a graph, even when users a

Externí odkaz: http://arxiv.org/abs/2208.04802

KlusTree: Clustering Answer Trees from Keyword Search on Graphs

Autor: Mohanty, Madhulika, Ramanath, Maya

Graph structured data on the web is now massive as well as diverse, ranging from social networks, web graphs to knowledge-bases. Effectively querying this graph structured data is non-trivial and has led to research in a variety of directions -- stru

Externí odkaz: http://arxiv.org/abs/1705.09808

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Intégration de la recherche de connexion dans les requêtes de graphique

Autor: Anadiotis, Angelos Christos, Manolescu, Ioana, Mohanty, Madhulika

Publikováno v: BDA 2022-38ème Conférence sur la Gestion de Données-Principes, Technologies et Applications
BDA 2022-38ème Conférence sur la Gestion de Données-Principes, Technologies et Applications, Oct 2022, Clermont-Ferrand, France
Inria Saclay-Île de France. 2023
ICDE 2023-39th IEEE International Conference on Data Engineering
ICDE 2023-39th IEEE International Conference on Data Engineering, Apr 2023, Anaheim (CA), United States

National audience; Graph data management and querying has many practical applications. When graphs are very heterogeneous and/or users are unfamiliar with their structure, they may need to find how two or more groups of nodes are connected in a graph

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ba4b49de77342ff2a8b012d99a9dc4c
https://hal.inria.fr/hal-03923293v2

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