8 citations · 13 across the 4 of their papers we have counts for
4 papers
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters
Ahmed Begga, Francisco Escolano, Miguel Angel Lozano +1
High-order Graph Neural Networks (HO-GNNs) have been developed to infer consistent latent spaces in the heterophilic regime, where the label distribution is not correlated with the…
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters
Piera Riccio, Bill Psomas, Francesco Galati +3
Augmented Reality or AR filters on selfies have become very popular on social media platforms for a variety of applications, including marketing, entertainment and aesthetics. Give…
DiffWire: Inductive Graph Rewiring via the Lovász Bound
Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano +1
Graph Neural Networks (GNNs) have been shown to achieve competitive results to tackle graph-related tasks, such as node and graph classification, link prediction and node and graph…
On the Interplay between Strong Regularity and Graph Densification
Marco Fiorucci, Alessandro Torcinovich, Manuel Curado +2
In this paper we analyze the practical implications of Szemerédi's regularity lemma in the preservation of metric information contained in large graphs. To this end, we present a h…