Koffi Enakoutsa

Distance-Based Representation Learning with Nonlinear Feature Algebras

Abstract Graph neural networks and spectral embeddings aggregate local neighbourhoods and so miss the global metric properties—growth rate, hyperbolicity, boundary at infinity—that govern large-scale structure in hierarchical, networked, and negatively curved data. We propose a f...