Michał Szarmach

Dimensionality Reduction Meets Message Passing for Graph Node Embeddings

2022 · arXiv (Cornell University)

Graph Neural Networks (GNNs) have become a popular approach for various applications, ranging from social network analysis to modeling chemical properties of molecules. While GNNs often show remarkable performance on public datasets, they can struggle …