Yann Ramusat

Affiliations:
  • LIRIS-CNRS, Lyon, France
  • PSL University, Paris, France (former)


According to our database1, Yann Ramusat authored at least 13 papers between 2017 and 2025.

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Timeline

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Bibliography

2025
AQG4SD: Automated GraphQL Query Generation for Cloud Service Discovery and Selection.
Proceedings of the Early Research Achievement and Demo Tracks at CoopIS 2025 co-located with the 31st International Conference on Cooperative Information Systems (CoopIS 2025), 2025

2024
DTGraph: Declarative Transformations of Property Graphs.
Proc. VLDB Endow., August, 2024

Transforming Property Graphs.
Proc. VLDB Endow., July, 2024

LabelIT: A Multi-cloud Resource Label Unification Tool.
Proceedings of the Cooperative Information Systems - 30th International Conference, 2024

2022
The Semiring-Based Provenance Framework for Graph Databases. (Provenance à base de semi-anneaux pour les bases de données graphes).
PhD thesis, 2022

Efficient provenance-aware querying of graph databases with datalog.
Proceedings of the GRADES-NDA '22: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2022

2021
A Practical Dynamic Programming Approach to Datalog Provenance Computation.
CoRR, 2021

Provenance-Based Algorithms for Rich Queries over Graph Databases.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
Absent words in a sliding window with applications.
Inf. Comput., 2020

2019
Provenance-Based Routing in Probabilistic Graph Databases.
Proceedings of the VLDB 2019 PhD Workshop, 2019

2018
ProvSQL: Provenance and Probability Management in PostgreSQL.
Proc. VLDB Endow., 2018

Semiring Provenance over Graph Databases.
Proceedings of the 10th USENIX Workshop on the Theory and Practice of Provenance, 2018

2017
Minimal Absent Words in a Sliding Window and Applications to On-Line Pattern Matching.
Proceedings of the Fundamentals of Computation Theory - 21st International Symposium, 2017


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