| The future is big graphs: a community view on graph processing systems S Sakr, A Bonifati, H Voigt, A Iosup, K Ammar, R Angles, W Aref, M Arenas, ... Communications of the ACM 64 (9), 62-71, 2021 | 228 | 2021 |
| The Train Benchmark: cross-technology performance evaluation of continuous model queries G Szárnyas, B Izsó, I Ráth, D Varró Software & Systems Modeling 17, 1365-1393, 2018 | 86 | 2018 |
| IncQuery-D: A distributed incremental model query framework in the cloud G Szárnyas, B Izsó, I Ráth, D Harmath, G Bergmann, D Varró International Conference on Model Driven Engineering Languages and Systems …, 2014 | 73 | 2014 |
| The LDBC social network benchmark R Angles, JB Antal, A Averbuch, A Birler, P Boncz, M Búr, O Erling, ... arXiv preprint arXiv:2001.02299, 2020 | 62 | 2020 |
| How representative is a sparql benchmark? an analysis of rdf triplestore benchmarks M Saleem, G Szárnyas, F Conrads, SAC Bukhari, Q Mehmood, ... The World Wide Web Conference, 1623-1633, 2019 | 62 | 2019 |
| Formalising openCypher graph queries in relational algebra J Marton, G Szárnyas, D Varró Advances in Databases and Information Systems: 21st European Conference …, 2017 | 53 | 2017 |
| An early look at the LDBC social network benchmark's business intelligence workload G Szárnyas, A Prat-Pérez, A Averbuch, J Marton, M Paradies, ... Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data …, 2018 | 47 | 2018 |
| Towards the automated generation of consistent, diverse, scalable and realistic graph models D Varró, O Semeráth, G Szárnyas, Á Horváth Graph Transformation, Specifications, and Nets: In Memory of Hartmut Ehrig …, 2018 | 44 | 2018 |
| Evaluation of graph analytics frameworks using the gap benchmark suite A Azad, MM Aznaveh, S Beamer, MP Blanco, J Chen, L D'Alessandro, ... 2020 IEEE International Symposium on Workload Characterization (IISWC), 216-227, 2020 | 39 | 2020 |
| The LDBC social network benchmark: Business intelligence workload G Szárnyas, J Waudby, BA Steer, D Szakállas, A Birler, M Wu, Y Zhang, ... Proceedings of the VLDB Endowment 16 (4), 877-890, 2022 | 37 | 2022 |
| LSQB: a large-scale subgraph query benchmark A Mhedhbi, M Lissandrini, L Kuiper, J Waudby, G Szárnyas Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data …, 2021 | 35 | 2021 |
| Towards the characterization of realistic models: evaluation of multidisciplinary graph metrics G Szárnyas, Z Kővári, Á Salánki, D Varró Proceedings of the ACM/IEEE 19th International Conference on Model Driven …, 2016 | 30 | 2016 |
| DuckPGQ: Efficient Property Graph Queries in an analytical RDBMS. D ten Wolde, T Singh, G Szárnyas, PA Boncz CIDR, 2023 | 27 | 2023 |
| Parallel GraphBLAS with OpenMP∗ M Aznaveh, J Chen, TA Davis, B Hegyi, SP Kolodziej, TG Mattson, ... 2020 Proceedings of the SIAM Workshop on Combinatorial Scientific Computing …, 2020 | 26 | 2020 |
| IncQuery-D: Incremental Graph Search in the Cloud B Izsó, G Szárnyas, I Ráth, D Varró Proc. of BigMDE, 2013 | 26 | 2013 |
| The TTC 2015 train benchmark case for incremental model validation G Szárnyas, O Semeráth, I Ráth, D Varró CEUR-WS, 2015 | 21 | 2015 |
| Supporting Dynamic Graphs and Temporal Entity Deletions in the LDBC Social Network Benchmark's Data Generator J Waudby, BA Steer, A Prat-Pérez, G Szárnyas Proceedings of the 3rd Joint International Workshop on Graph Data Management …, 2020 | 20 | 2020 |
| The LDBC Social Network Benchmark. CoRR abs/2001.02299 (2020) R Angles, JB Antal, A Averbuch, PA Boncz, O Erling, A Gubichev, ... arXiv preprint arXiv:2001.02299, 2020 | 16 | 2020 |
| MONDO-SAM: A Framework to Systematically Assess MDE Scalability. B Izsó, G Szárnyas, I Ráth, D Varró BigMDE@ STAF, 40-43, 2014 | 14 | 2014 |
| Incremental view maintenance for property graph queries G Szárnyas Proceedings of the 2018 International Conference on Management of Data, 1843 …, 2018 | 13 | 2018 |
Daniel VarroProfessor of Software Engineering at Linköping University / Adjunct Professor at McGillBestätigte E-Mail-Adresse bei liu.se
