4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.DB2025
SQL4NN: Validation and expressive querying of models as data
Mark Gerarts, Juno Steegmans, Jan Van den Bussche
We consider machine learning models, learned from data, to be an important, intensional, kind of data in themselves. As such, various analysis tasks on models can be thought of as…
cs.LG2023★ 4 cited
Learning Graph Neural Networks using Exact Compression
Jeroen Bollen, Jasper Steegmans, Jan Van den Bussche +1
Graph Neural Networks (GNNs) are a form of deep learning that enable a wide range of machine learning applications on graph-structured data. The learning of GNNs, however, is known…