activity
20192024
most citedNeural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

29 citations · 89 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2024

Relaxed Equivariance via Multitask Learning

Ahmed A. Elhag, T. Konstantin Rusch, Francesco Di Giovanni +1

Incorporating equivariance as an inductive bias into deep learning architectures to take advantage of the data symmetry has been successful in multiple applications, such as chemis…

cs.LG2023★ 5 cited

How does over-squashing affect the power of GNNs?

Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein +4

Graph Neural Networks (GNNs) are the state-of-the-art model for machine learning on graph-structured data. The most popular class of GNNs operate by exchanging information between…

cs.LG2023★ 22 cited

Edge Directionality Improves Learning on Heterophilic Graphs

Emanuele Rossi, Bertrand Charpentier, Francesco Di Giovanni +3

Graph Neural Networks (GNNs) have become the de-facto standard tool for modeling relational data. However, while many real-world graphs are directed, the majority of today's GNN mo…

stat.ML2022★ 12 cited

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…

cs.LG2022★ 29 cited

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain +2

Cellular sheaves equip graphs with a "geometrical" structure by assigning vector spaces and linear maps to nodes and edges. Graph Neural Networks (GNNs) implicitly assume a graph w…

cs.LG2021★ 15 cited

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…

math.DG2019★ 4 cited

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 $…

math.DG2019★ 2 cited

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…