Research
Significant challenges in artificial intelligence and data management are raised by the nature of data. Data can be for example more or less structured, very large, high-dimensional, incomplete, noisy, etc. In the Tyrex project-team, we conduct research at the crossroads of graph data management and artificial intelligence.
Projects
- GraphRec (2024-..)
- With the ANR-funded GraphRec project, we investigate neuro-symbolic queries on large graphs.
- CLEAR (2017-2022)
- With the ANR-funded CLEAR project, we investigated programming techniques to facilitate the extraction of value from big data. This includes studying how to efficiently query large graphs, how to generate distributed (e.g. Spark) code optimized for processing huge datasets, and how to develop scalable interpretable predictive models.