Recent Projects
- GraphRec
(2024-..)
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Through the ANR-funded GraphRec project, we investigate recursive navigational graph query processing, relational learning, and neuro-symbolic approaches to querying large graphs.
- CLEAR (2017-2022)
Through the ANR-funded CLEAR project, we explored programming techniques to enhance the extraction of value from large-scale data. Our work included developing efficient methods for querying large graphs, generating optimized distributed code (e.g., for Spark) to process massive datasets, and designing scalable predictive models.