Megjegyzés: Cited By :1            
            Export Date: 16 June 2022

Megjegyzés: Alibaba; et al.; IBM; Neo4j; SIGMOD; TigerGraph            
            Conference code: 160983            
            Cited By :8            
            Export Date: 7 February 2024            
            Funding details: FK-128981            
            Funding details: Alan Turing Institute, EP/T001569/1            
            Funding details: Engineering and Physical Sciences Research Council, EPSRC, EP/L015358/1            
            Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH            
            Funding text 1: the Development and Innovation Office of Hungary (NKFIH), National Research, grant number FK-128981            
            Funding text 2: The authors would like to thank Peter Boncz for his suggestions. J. Waudby was supported by the Engineering and Physical Sciences Research Council, Centre for Doctoral Training in Cloud Computing for Big Data [grant number EP/L015358/1]. B. Steer was supported by the Engineering and Physical Sciences Research Council and Alan Turing Institute [grant number EP/T001569/1]. G. Szárnyas was partially supported by the MTA-BME Lendület Cyber-Physical Systems Research Group. The parameterization of the data generator was determined with input from the the Development and Innovation Office of Hungary (NKFIH), National Research, grant number FK-128981.

Megjegyzés: Amazon; Bloomberg; Criteo AI Lab; et al.; Google; Microsoft            
            AKSW, Leipzig University, Germany            
            Department of Pathology, Yale School of Medicine, United States            
            MTA-BME Lendület Cyber-Physical Systems Research Group, Hungary            
            Insight Centre for Data Analytics, University of Ireland, Galway, Ireland            
            DICE, Paderborn University, Germany            
            DICE, Paderborn University AKSW, Leipzig University, Germany            
            Department of Measurement and Information Systems at the Budapest University of Technology and Economics, Hungary            
            Conference code: 147966            
            Cited By :29            
            Export Date: 7 February 2024            
            Funding details: European Molecular Biology Organization, EMBO, 19F2029I            
            Funding details: Blood Systems Research Institute, BSRI, ÚNKP-18-3-III            
            Funding details: Science Foundation Ireland, SFI, SFI/12/RC/2289            
            Funding details: Ontario Power Authority, OPA, 19F2028A            
            Funding details: Beijing Institute of Technology, BIT, 688227            
            Funding details: Emberi Eroforrások Minisztériuma            
            Funding text 1: This work has been supported by the project HOBBIT (GA no. 688227), LIMBO (no. 19F2029I) and OPAL (no. 19F2028A) as well as by Science Foundation Ireland (SFI) under Grant No. SFI/12/RC/2289, MTA-BME Lendület Cyber-Physical Systems Research Group, and the ÚNKP-18-3-III New National Excellence Program of the Ministry of Human Capacities, Hungary. The authors would like to thank János Benjamin Antal for his assistance in reworking and benchmarking the LDBC SNB queries.

Megjegyzés: Correspondence Address: Semeráth, O.; Budapest University of Technology and EconomicsHungary; email: semerath@mit.bme.hu

Megjegyzés: Funding Agency and Grant Number: NSERC [RGPIN-04573-16]; MTA-BME Lendulet Cyber-Physical Systems Research Group; MINECO (Ministerio de Economia, Industria y Competitividad) [TIN2017-89244-R]; AGAUR (Generalitat de Catalunya) [2017SGR-856]; EU H2020 [ICT-04-2015-688540]
            Funding text: DG. Szarnyas was partially supported by NSERC RGPIN-04573-16 and MTA-BME Lendulet Cyber-Physical Systems Research Group. DAMA-UPC research was supported by the grant TIN2017-89244-R from MINECO (Ministerio de Economia, Industria y Competitividad) and the recognition 2017SGR-856 (MACDA) from AGAUR (Generalitat de Catalunya). Sparsity thanks the EU H2020 for funding the Uniserver project (ICT-04-2015-688540). We would like to thank Oskar Van Rest (Oracle Labs) for his contributions in the PGQL queries and Balint Hegyi (BME) for his remarks on the spec.

Megjegyzés: WoS:hiba:000460373700160 2020-08-29 12:55 befoglaló cím nem egyezik

Megjegyzés: Correspondence Address: Szárnyas, G.; Department of Measurement and Information Systems, Magyar tudósok krt. 2, Hungary; email: szarnyas@mit.bme.hu

Megjegyzés: Correspondence Address: Szárnyas, G.; Department of Measurement and Information Systems, Magyar tudósok körútja 2., Hungary; email: szarnyas@mit.bme.hu