Gábor Szárnyas

Hinkel, G, Garcia-Dominguez, A, Schöne, R, Boronat, A, Tisi, M, Le Calvar, T, … Szárnyas, G. (2021). A cross-technology benchmark for incremental graph queries. Software and Systems Modeling. doi:10.1007/s10270-021-00927-5

Sakr, S, Bonifati, A, Voigt, H, Iosup, A, Ammar, K, Angles Rojas, R, … Yoneki, E. (2021). The future is big graphs! A community view on graph processing systems. Communications of the ACM, 64(9). doi:10.1145/3434642

Waudby, J, Steer, B.A, Karimov, K, Marton, J, Boncz, P.A, & Szárnyas, G. (2021). Towards testing ACID compliance in the LDBC Social Network Benchmark. In Proceedings of the 2020 Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2020 (pp. 1–17). doi:10.1007/978-3-030-84924-5_1

Szárnyas, G, Bader, D.A, Davis, T.A, Kitchen, J, Mattson, T.G, McMillan, S, & Welch, E. (2021). LAGraph: Linear algebra, network analysis libraries, and the study of graph algorithms. In IEEE International Parallel and Distributed Processing Symposium Workshops (pp. 243–252). doi:10.1109/IPDPSW52791.2021.00046

Mhedhbi, A, Lissandrini, M, Kuiper, L.N, Waudby, J, & Szárnyas, G. (2021). LSQB: A large-scale subgraph query benchmark. Proceedings of the ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 8.1–8.11. doi:10.1145/3461837.3464516

Szárnyas, G, Pérez, A.P, Averbuch, A, Marton, J, Paradies, M, Kaufmann, M, … Antal, J.B. (2018). An early look at the LDBC social network benchmark's business intelligence workload.