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Amine MhedhbiDepartment of Computer Engineering and Software Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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Dorbani, A., Yasser, S., Lin, J., & Mhedhbi, A. (2025). Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB. Proceedings of the VLDB Endowment, 18(12), 5415-5418. External link
Gupta, P., Mhedhbi, A., & Salihoğlu, S. (2021). Columnar storage and list-based processing for graph database management systems. Proceedings of the VLDB Endowment, 14(11), 2491-2504. External link
Kankanamge, C., Sahu, S., Mhedhbi, A., Chen, J., & Salihoğlu, S. (2017, May). Graphflow: An Active Graph Database [Paper]. ACM International Conference on Management of Data (SIGMOD 2017), Chicago, Illinois, USA. External link
Maamari, K., Landy, C., & Mhedhbi, A. (2025, January). GenEdit: Compounding Operators and Continuous Improvement to Tackle Text-to-SQL in the Enterprise [Paper]. 15th Annual Conference on Innovative Data Systems Research (CIDR ’25), Amsterdam, The Netherlands. External link
Mhedhbi, A., Deshpande, A., & Salihoğlu, S. (2024). Modern Techniques For Querying Graph-structured Databases. Foundations and Trends in Databases, 14(2), 72-185. External link
Mhedhbi, A., Deshpande, A., & Salihoglu, S. (2024). Modern techniques for querying graph-structured databases. Foundations and Trends in Databases, 14(2), 72-185. External link
Mhedhbi, A. (2023). GraphflowDB : scalable query processing on graph-structured relation External link
Mhedhbi, A., & Salihoğlu, S. (2022). Modern techniques for querying graph-structured relations: foundations, system implementations, and open challenges. Proceedings of the VLDB Endowment, 15(12), 3762-3765. External link
Mhedhbi, A., Gupta, P., Khaliq, S., & Salihoğlu, S. (2021, April). A+ Indexes: Tunable and Space-Efficient Adjacency Lists in Graph Database Management Systems [Paper]. 37th IEEE International Conference on Data Engineering (ICDE 2021), Chania, Greece. External link
Mhedhbi, A., Lissandrini, M., Kuiper, L., Waudby, J., & Szárnyas, G. (2021, June). LSQB: a large-scale subgraph query benchmark [Paper]. 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES 2021) and Network Data Analytics (NDA 2021) (11 pages). External link
Mhedhbi, A., Kankanamge, C., & Salihoğlu, S. (2021). Optimizing One-time and Continuous Subgraph Queries using Worst-case Optimal Joins. ACM Transactions on Database Systems, 46(2), 6 (45 pages). External link
Mhedhbi, A., & Salihoglu, S. (2019). Optimizing subgraph queries by combining binary and worst-case optimal joins. Proceedings of the VLDB Endowment, 12(11), 1692-1704. External link
Sahu, S., Mhedhbi, A., Salihoğlu, S., Lin, J., & Özsu, M. T. (2020). The ubiquity of large graphs and surprising challenges of graph processing: extended survey. The VLDB Journal, 29(2), 595-618. External link
Sahu, S., Mhedhbi, A., Salihoğlu, S., Lin, J., & Özsu, M. T. (2017). The ubiquity of large graphs and surprising challenges of graph processing. Proceedings of the VLDB Endowment, 11(4), 420-431. External link
Vaithilingam, P., Kim, M., Acosta-Parenteau, F.-C., Lee, D., Mhedhbi, A., Glassman, E. L., & Arawjo, I. (2025, September). Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale [Paper]. 38th Annual ACM Symposium on User Interface Software and Technology (UIST 2025), Busan, Republic of Korea (18 pages). External link
Yasser, S., Dorbani, A., & Mhedhbi, A. (2026). Factorized and Vectorized Execution: Optimizing Analytical and Semantic Queries over Relations. Proceedings of the ACM on Management of Data, 4(3), 1-26. External link
