Reference author: Semih Salihoglu

Salihoglu, S. ., & Yakovets, N. . (2019). Graph Query Processing. Springer. https://doi.org/10.1007/978-3-319-63962-8_215-1

Salihoglu, S. ., & Yakovets, N. . (2019). Graph Query Processing. Springer. https://doi.org/10.1007/978-3-319-63962-8_215-1

Sakr, S. ., Bonifati, A. ., Voigt, H. ., Iosup, A. ., Ammar, K. ., Angles, R. ., Aref, W. G., Arenas, M. ., Besta, M. ., Boncz, P. A., Daudjee, K. ., Valle, E. D., Dumbrava, S. ., Hartig, O. ., Haslhofer, B. ., Hegeman, T. ., Hidders, J. ., Hose, K. ., Iamnitchi, A. ., Kalavri, V. ., Kapp, H. ., Martens, W. ., Ozsu, T. ., Peukert, E. ., Plantikow, S. ., Ragab, M. ., Ripeanu, M. ., Salihoglu, S. ., Schulz, C. ., Selmer, P. ., Sequeda, J. F., Shinavier, J. ., arnyas, G. abor S., Tommasini, R. ., Tumeo, A. ., Uta, A. ., Varbanescu, A. L., Wu, H.-Y. ., Yakovets, N. ., Yan, D. ., & Yoneki, E. . (2021). The Future Is Big Graphs: A Community View on Graph Processing Systems. Communications of the ACM, 64, 62-71. https://doi.org/10.1145/3434642

Jin, G. ., & Salihoglu, S. . (2021). Making RDBMSs Efficient on Graph Workloads Through Predefined Joins. ArXiv, abs/2108.10540. Retrieved from https://arxiv.org/abs/2108.10540

Gupta, P. ., Mhedhbi, A. ., & Salihoglu, S. . (2021). Columnar Storage and List-Based Processing for Graph Database Management Systems. Proceedings of the VLDB Endowment (PVLDB), 14, 2491-2504. Retrieved from http://www.vldb.org/pvldb/vol14/p2491-gupta.pdf

Chen, J. ., Huang, Y. ., Wang, M. ., Salihoglu, S. ., & Salem, K. . (2022). Accurate Summary-Based Cardinality Estimation Through the Lens Of Cardinality Estimation Graphs. Proceedings of the VLDB Endowment (PVLDB), 15, 1533-1545. Retrieved from https://www.vldb.org/pvldb/vol15/p1533-chen.pdf

Jin, G. ., & Salihoglu, S. . (2022). Making RDBMSs Efficient on Graph Workloads Through Predefined Joins. Proceedings of the VLDB Endowment (PVLDB), 15, 1011-1023. Retrieved from https://www.vldb.org/pvldb/vol15/p1011-jin.pdf

Jin, G. ., Anzum, N. ., & Salihoglu, S. . (2022). GRainDB: A Relational-Core Graph-Relational DBMS. GRainDB: A Relational-Core Graph-Relational DBMS. Presented at the. Retrieved from https://www.cidrdb.org/cidr2022/papers/p57-jin.pdf

Kalavri, V. ., & Salihoglu, S. . (2022). GRADES-NDA\textquoteright22: 5th International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA). GRADES-NDA\textquoteright22: 5th International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA) . Presented at the. https://doi.org/10.1145/3514221.3524074

Mhedhbi, A. ., & Salihoglu, S. . (2022). Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges. Proceedings of the VLDB Endowment (PVLDB), 15, 3762-3765. Retrieved from https://www.vldb.org/pvldb/vol15/p3762-mhedhbi.pdf