Comment: Cited By :1 Export Date: 16 June 2022
Comment: 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.
Comment: 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.
Comment: Correspondence Address: Semeráth, O.; Budapest University of Technology and EconomicsHungary; email: semerath@mit.bme.hu
Comment: WoS:hiba:000460373700160 2020-08-29 12:55 befoglaló cím nem egyezik
Comment: 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.
Comment: Correspondence Address: Szárnyas, G.; Department of Measurement and Information Systems, Magyar tudósok krt. 2, Hungary; email: szarnyas@mit.bme.hu
Comment: Correspondence Address: Szárnyas, G.; Department of Measurement and Information Systems, Magyar tudósok körútja 2., Hungary; email: szarnyas@mit.bme.hu