Querying Graph Databases at Scale

Author:

Hogan Aidan1ORCID,Vrgoć Domagoj2ORCID

Affiliation:

1. DCC, University of Chile, Santiago, Chile

2. Pontificia Universidad Católica de Chile & Instituto Milenio Fundamentos de los Datos, Santiago, Chile

Funder

Agencia Nacional de Investigación y Desarrollo

Publisher

ACM

Reference30 articles.

1. Renzo Angles, Marcelo Arenas, Pablo Barceló, Aidan Hogan, Juan L. Reutter, and Domagoj Vrgoc. Foundations of Modern Query Languages for Graph Databases. ACM Comput. Surv., 50(5), 2017.

2. PG-Schema: Schemas for Property Graphs

3. Renzo Angles, Aidan Hogan, Ora Lassila, Carlos Rojas, Daniel Schwabe, Pedro A. Szekely, and Domagoj Vrgoc. Multilayer graphs: a unified data model for graph databases. In Vasiliki Kalavri and Semih Salihoglu, editors, GRADES-NDA '22: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Philadelphia, Pennsylvania, USA, 12 June 2022, pages 11:1--11:6. ACM, 2022.

4. Diego Arroyuelo, Aidan Hogan, Gonzalo Navarro, Juan L. Reutter, Javiel Rojas-Ledesma, and Adrián Soto. Worst-case optimal graph joins in almost no space. In Guoliang Li, Zhanhuai Li, Stratos Idreos, and Divesh Srivastava, editors, SIGMOD '21: International Conference on Management of Data, Virtual Event, China, June 20--25, 2021, pages 102--114. ACM, 2021.

5. Pablo Barceló Baeza. Querying graph databases. In PODS 2013, pages 175--188, 2013.

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