1 code implementation • 29 Jun 2023 • Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Both the jumps and the diffusion distances react to classification errors (i. e. they are learnable).
Ranked #1 on Node Classification on Chameleon
1 code implementation • 19 Jul 2022 • Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver
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.
2 code implementations • 15 Jun 2022 • Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano, Nuria Oliver
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 clustering in a variety of domains.
Ranked #1 on Graph Classification on IMDB-BINARY
no code implementations • 21 Mar 2017 • Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo
In this paper we analyze the practical implications of Szemer\'edi's regularity lemma in the preservation of metric information contained in large graphs.