Learning Graph Neural Networks using Exact Compression

no code implementations • 28 Apr 2023 • Jeroen Bollen, Jasper Steegmans, Jan Van den Bussche, Stijn Vansummeren

Graph Neural Networks (GNNs) are a form of deep learning that enable a wide range of machine learning applications on graph-structured data.

On the expressive power of message-passing neural networks as global feature map transformers

no code implementations • 17 Mar 2022 • Floris Geerts, Jasper Steegmans, Jan Van den Bussche

We investigate the power of message-passing neural networks (MPNNs) in their capacity to transform the numerical features stored in the nodes of their input graphs.