• Besta M, Gerstenberger R, Peter E, Fischer M, Podstawski M, Barthels C, Alonso G and Hoefler T. (2023). Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries. ACM Computing Surveys. 56:2. (1-40). Online publication date: 29-Feb-2024.

    https://doi.org/10.1145/3604932

  • Szárnyas G, Bebee B, Birler A, Deutsch A, Fletcher G, Gabb H, Gosnell D, Green A, Guo Z, Hare K, Hidders J, Iosup A, Kiryakov A, Kovatchev T, Li X, Libkin L, Lin H, Luo X, Prat-Pérez A, Püroja D, Qi S, van Rest O, Steer B, Szakállas D, Tong B, Waudby J, Wu M, Yang B, Yu W, Zhang C, Zhang J, Zhou Y and Boncz P. (2024). The Linked Data Benchmark Council (LDBC): Driving Competition and Collaboration in the Graph Data Management Space. Performance Evaluation and Benchmarking. 10.1007/978-3-031-68031-1_7. (90-106).

    https://link.springer.com/10.1007/978-3-031-68031-1_7

  • Faltín T, Trigonakis V, Berdai A, Fusco L, Iorgulescu C, Lee J, Yaghob J, Hong S and Chafi H. Distributed Asynchronous Regular Path Queries (RPQs) on Graphs. Proceedings of the 24th International Middleware Conference: Industrial Track. (35-41).

    https://doi.org/10.1145/3626562.3626833

  • Besta M, Gerstenberger R, Fischer M, Podstawski M, Blach N, Egeli B, Mitenkov G, Chlapek W, Michalewicz M, Niewiadomski H, Mueller J and Hoefler T. The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. (1-18).

    https://doi.org/10.1145/3581784.3607068

  • Khan A. (2023). Knowledge Graphs Querying. ACM SIGMOD Record. 52:2. (18-29). Online publication date: 10-Aug-2023.

    https://doi.org/10.1145/3615952.3615956

  • Faltín T, Trigonakis V, Berdai A, Fusco L, Iorgulescu C, Hong S and Chafi H. Better Distributed Graph Query Planning With Scouting Queries. Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). (1-9).

    https://doi.org/10.1145/3594778.3594884

  • Sen R and Tian Y. Microarchitectural Analysis of Graph BI Queries on RDBMS. Proceedings of the 19th International Workshop on Data Management on New Hardware. (102-106).

    https://doi.org/10.1145/3592980.3595321

  • Szárnyas G, Waudby J, Steer B, Szakállas D, Birler A, Wu M, Zhang Y and Boncz P. (2022). The LDBC Social Network Benchmark. Proceedings of the VLDB Endowment. 16:4. (877-890). Online publication date: 1-Dec-2022.

    https://doi.org/10.14778/3574245.3574270

  • Saleem M, Akhter A, Vahdati S and Ngonga Ngomo A. μ-Bench: Real-world Micro Benchmarking for SPARQL Query Processing over Knowledge Graphs. Proceedings of the 11th International Joint Conference on Knowledge Graphs. (39-47).

    https://doi.org/10.1145/3579051.3579054

  • Narayanasamy S, Srinivasan K, Hu Y, Masilamani S and Huang K. (2022). A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems. Electronics. 10.3390/electronics11030453. 11:3. (453).

    https://www.mdpi.com/2079-9292/11/3/453

  • Baumstark A, Götze P, Jibril M and Sattler K. Instant Graph Query Recovery on Persistent Memory. Proceedings of the 17th International Workshop on Data Management on New Hardware. (1-4).

    https://doi.org/10.1145/3465998.3466011

  • Mhedhbi A, Lissandrini M, Kuiper L, Waudby J and Szárnyas G. LSQB. Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). (1-11).

    https://doi.org/10.1145/3461837.3464516

  • Besta M, Fischer M, Kalavri V, Kapralov M and Hoefler T. Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems. IEEE Transactions on Parallel and Distributed Systems. 10.1109/TPDS.2021.3131677. (1-1).

    https://ieeexplore.ieee.org/document/9629281/

  • Wang R, Yang Z, Zhang W and Lin X. (2020). An Empirical Study on Recent Graph Database Systems. Knowledge Science, Engineering and Management. 10.1007/978-3-030-55130-8_29. (328-340).

    http://link.springer.com/10.1007/978-3-030-55130-8_29

  • Schmid M. On efficiently storing huge property graphs in relational database management systems. Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services. (344-352).

    https://doi.org/10.1145/3366030.3366046

  • Saleem M, Szárnyas G, Conrads F, Bukhari S, Mehmood Q and Ngonga Ngomo A. How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks. The World Wide Web Conference. (1623-1633).

    https://doi.org/10.1145/3308558.3313556