Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations

Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis

Abstract: In recent years, graph neural networks (GNNs) have emerged as a promising tool for solving machine learning problems on graphs. Most GNNs are members of the family of message passing neural network...