NeoMaPy: a Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic Networks (IJCAI’23 & CIKM’23)
Nicolas Travers's publications
- Leveraging recommendations using a multiplex graph database
- MAP Inference Reasoning on TMLN with Neo4j
- A Multiplex Graph for Recommending Multidimensional Documents
- How to recommend Multidimensional Documents with a Multiplex Graph?
- How to Recommend Multidimensional Data with a Multiplex Graph?
- FACT-DM : A Framework for Automated Cost-Based Data Model Transformation
- NeoSGG: A Scene Graph Generation Framework for Video-Surveillance Tasks
- Modélisation des données ouvertes au service des ODD
- LoGE: an unsupervised local-global document extension generation in information retrieval for long documents
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