| 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 | 220 | 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 | 82 | 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 |
| 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 | 61 | 2019 |
| 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 | 60 | 2020 |
| 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 | 38 | 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 | 33 | 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 | 31 | 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 | 29 | 2016 |
| DuckPGQ: Efficient Property Graph Queries in an analytical RDBMS. D ten Wolde, T Singh, G Szárnyas, PA Boncz CIDR, 2023 | 26 | 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 |
| 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 TTC 2015 train benchmark case for incremental model validation G Szárnyas, O Semeráth, I Ráth, D Varró CEUR-WS, 2015 | 20 | 2015 |
| 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 | 12 | 2018 |
| Duckpgq: Bringing sql/pgq´ to duckdb D Wolde, G Szárnyas, P Boncz Proceedings of the VLDB Endowment 16 (12), 4034-4037, 2023 | 10 | 2023 |
| Automated generation of consistent, diverse and structurally realistic graph models O Semeráth, AA Babikian, B Chen, C Li, K Marussy, G Szárnyas, D Varró Software and Systems Modeling 20 (5), 1713-1734, 2021 | 10 | 2021 |
| Evaluation of optimization strategies for incremental graph queries G Szárnyas, J Maginecz, D Varró Periodica Polytechnica Electrical Engineering and Computer Science 61 (2 …, 2017 | 10 | 2017 |
| Reducing property graph queries to relational algebra for incremental view maintenance G Szárnyas, J Marton, J Maginecz, D Varró arXiv preprint arXiv:1806.07344, 2018 | 9 | 2018 |
| LAGraph: Linear algebra, network analysis libraries, and the study of graph algorithms G Szárnyas, DA Bader, TA Davis, J Kitchen, TG Mattson, S McMillan, ... 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 8 | 2021 |
| Towards testing ACID compliance in the LDBC social network benchmark J Waudby, BA Steer, K Karimov, J Marton, P Boncz, G Szárnyas Technology Conference on Performance Evaluation and Benchmarking, 1-17, 2020 | 8 | 2020 |
| Class responsibility assignment case: a Viatra-DSE solution AS Nagy, G Szárnyas CEUR-WS. org, 2016 | 8 | 2016 |
| Model-driven engineering of an opencypher engine: Using graph queries to compile graph queries J Marton, G Szárnyas, M Búr SDL 2017: Model-Driven Engineering for Future Internet: 18th International …, 2017 | 7 | 2017 |
| The LDBC Graphalytics Benchmark A Iosup, A Musaafir, A Uta, AP Pérez, G Szárnyas, H Chafi, IG Tănase, ... arXiv preprint arXiv:2011.15028, 2020 | 6 | 2020 |
| Optimization of incremental queries in the cloud J Makai, G Szárnyas, IZ Ráth, D Varró, Á Horváth | 6 | 2015 |
| The LDBC Financial Benchmark S Qi, H Lin, Z Guo, G Szárnyas, B Tong, Y Zhou, B Yang, J Zhang, Z Wang, ... arXiv preprint arXiv:2306.15975, 2023 | 5 | 2023 |
| Java Refactoring Case: A VIATRA Solution. D Stein, G Szárnyas, I Ráth TTC@ STAF, 100-117, 2015 | 4 | 2015 |
| Superscalable modeling G Szárnyas, I Ráth, B Izsó, D Varró Master’s thesis. Budapest University of Technology and Economics, 2013 | 4 | 2013 |
| The linked data benchmark council (ldbc): Driving competition and collaboration in the graph data management space G Szárnyas, B Bebee, A Birler, A Deutsch, G Fletcher, HA Gabb, ... Technology Conference on Performance Evaluation and Benchmarking, 90-106, 2023 | 3 | 2023 |
| A cross-technology benchmark for incremental graph queries G Hinkel, A Garcia-Dominguez, R Schöne, A Boronat, M Tisi, T Le Calvar, ... Software and Systems Modeling 21 (2), 755-804, 2022 | 3 | 2022 |
| Graphs and matrices: A translation of" Graphok\'{e} s matrixok" by D\'{e} nes K\H {o} nig (1931) G Szárnyas arXiv preprint arXiv:2009.03780, 2020 | 3 | 2020 |
| Query, analysis, and benchmarking techniques for evolving property graphs of software systems G Szárnyas PQDT-Global, 2019 | 3 | 2019 |
| Graph-Based Source Code Analysis of Dynamically Typed Languages D Stein, G Szárnyas, Á Lippai, D Honfi Scientific Students’ Association Report, Budapest University of Technology …, 2016 | 3 | 2016 |
| The LDBC Social Network Benchmark Interactive workload v2: A transactional graph query benchmark with deep delete operations D Püroja, J Waudby, P Boncz, G Szárnyas Technology Conference on Performance Evaluation and Benchmarking, 107-123, 2023 | 2 | 2023 |
| An analysis of the SIGMOD 2014 programming contest: complex queries on the LDBC social network graph M Elekes, JB Antal, G Szárnyas arXiv preprint arXiv:2010.12243, 2020 | 2 | 2020 |
| A GraphBLAS solution to the SIGMOD 2014 Programming Contest using multi-source BFS M Elekes, A Nagy, D Sándor, JB Antal, TA Davis, G Szárnyas 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2020 | 2 | 2020 |
| An incremental GraphBLAS solution for the 2018 TTC Social Media case study M Elekes, G Szárnyas 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 2 | 2020 |
| Graph-Based Source Code Analysis of JavaScript Repositories D Stein, G Szárnyas, Á Lippai, D Honfi Master’s thesis. Budapest University of Technology and Economics, 2016 | 2 | 2016 |
| Sharded joins for scalable incremental graph queries J Maginecz, G Szárnyas BME MIT, 2016 | 2 | 2016 |
| Incremental Static Analysis of Large Source Code Repositories D Stein, G Szárnyas, I Ráth Architecture 22, 1, 2014 | 2 | 2014 |
| Incremental view maintenance in graph databases: a case study in Neo4j M Elekes, G Szárnyas Proceedings of the 27th PhD mini-symposium. Budapest University of …, 2020 | 1 | 2020 |
| Matrix-Based Analysis of Multiplex Graphs P Várhegyi, G Szárnyas Scientific Students’ Association report, Budapest University of Technology …, 2018 | 1 | 2018 |
| Train Benchmark Case: an EMF-INCQUERY Solution. G Szárnyas, M Búr, I Ráth TTC@ STAF, 157-166, 2015 | 1 | 2015 |
| Linked Data Benchmark Council: 12 years of fostering competition in the graph processing space G Szárnyas Companion of the 15th ACM/SPEC International Conference on Performance …, 2024 | | 2024 |
| HPI Future SOC Lab–Proceedings 2018 K Rana, DP Mohapatra, J Sidorova, L Lundberg, L Sköld, LFL Grim, ... Universitätsverlag Potsdam, 2023 | | 2023 |
| High-Performance Property Graph Queries G Szárnyas, J Marton, J Maginecz, D Varró HPI Future SOC Lab–Proceedings 2018, 243, 2023 | | 2023 |
| Benchmarking Graph Business Intelligence workloads G Szárnyas, J Marton, JB Antal, D Varró HPI Future SOC Lab–Proceedings 2018, 269, 2023 | | 2023 |
| Translating openCypher Queries to SQL M ELEKES, JB ANTAL, J MARTON, G SZÁRNYAS | | 2019 |
| Multidimensional Graph Analytics P Várhegyi, G Szárnyas, J Marton | | 2018 |
| Scalable Graph Query Evaluation and Benchmarking with Realistic Models G Szárnyas CEUR-WS. org, 2016 | | 2016 |
| Proceedings of the 23rd PhD Mini-Symposium G Szárnyas Méréstechnika és Információs Rendszerek Tanszék, 2016 | | 2016 |
| Optimization of Incremental Queries in the Cloud–Technical Report J Makai, G Szárnyas, A Horváth, I Ráth, D Varró | | 2015 |
| Distributed Data Storage in NoSQL Databases G Szárnyas | | 2014 |
| Using the Actor Model for Concurrent Applications: Akka G Szárnyas | | 2014 |
| Zhang, Yongzhe 216 Zhang, Yunming 216 Zhao, Shufflin 288 Zhou, Huiyang 94, 252 J Zhu, S Pal, K Parasyris, J Park, R Peri, K Pingali, D Ponomarev, ... | | |
| Benchmarking the Performance of Graph Transformation Tools G Szárnyas | | |
| Evaluation of openCypher graph queries with a local search-based algorithm D Szakállas, G Szárnyas, M Búr | | |
| Formalisation of openCypher Queries in Relational Algebra (Extended Version) G Szárnyas, J Marton | | |
| Viatra-DSE Solution AS Nagy, G Szárnyas | | |
| Scalable Incremental Query Evaluation for Large Models G Szárnyas, I Ráth, D Varró | | |
Daniel VarroProfessor of Software Engineering at Linköping University / Adjunct Professor at McGillVerified email at liu.se
