Neural Embeddings of Graphs in Hyperbolic Space

Geometry-aware representation of networks At first glance the paper reframes a familiar problem—learning compact vector representations of graphs—through a geometric lens that seems to matter: the move from flat Euclidean space to negatively curved s...