15 citations · 27 across the 2 of their papers we have counts for
4 papers
Heterogeneous manifolds for curvature-aware graph embedding
Francesco Di Giovanni, Giulia Luise, Michael Bronstein
Graph embeddings, wherein the nodes of the graph are represented by points in a continuous space, are used in a broad range of Graph ML applications. The quality of such embeddings…
Beltrami Flow and Neural Diffusion on Graphs
Benjamin Paul Chamberlain, James Rowbottom, Davide Eynard +3
We propose a novel class of graph neural networks based on the discretised Beltrami flow, a non-Euclidean diffusion PDE. In our model, node features are supplemented with positiona…
Rotationally symmetric Ricci flow on
Francesco Di Giovanni
We study the Ricci flow on , with , starting at some complete bounded curvature rotationally symmetric metric . We first focus on the case where $…
Ricci flow of warped Berger metrics on
Francesco Di Giovanni
We study the Ricci flow on starting at an SU(2)-cohomogeneity 1 metric whose restriction to any hypersphere is a Berger metric. We prove that if ha…