Post-Doctoral Research Visit F/M Neurosymbolic Relational Graph Neural Networks

Within the TYREX research team : tyrex.inria.fr Relational learning has recently gained renewed momentum through the development of end-to-end deep learning approaches over relational databases. In this setting, relational tables are typically transformed into heterogeneous graphs, where rows become nodes and primary-foreign key relationships induce edges.