20 citations · 58 across the 8 of their papers we have counts for
8 papers
Bounded Graph Clustering with Graph Neural Networks
Kibidi Neocosmos, Diego Baptista, Nicole Ludwig
In community detection, many methods require the user to specify the number of clusters in advance since an exhaustive search over all possible values is computationally infeasible…
Convergence properties of optimal transport-based temporal hypernetworks
Diego Baptista, Caterina De Bacco
We present a method to extract temporal hypergraphs from sequences of 2-dimensional functions obtained as solutions to Optimal Transport problems. We investigate optimality princip…
Community Detection in networks by Dynamical Optimal Transport Formulation
Daniela Leite, Diego Baptista, Abdullahi Ibrahim +2
Detecting communities in networks is important in various domains of applications. While a variety of methods exists to perform this task, recent efforts propose Optimal Transport…
Immiscible Color Flows in Optimal Transport Networks for Image Classification
Alessandro Lonardi, Diego Baptista, Caterina De Bacco
In classification tasks, it is crucial to meaningfully exploit the information contained in data. While much of the work in addressing these tasks is devoted to building complex al…
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
Caterina De Bacco, Martina Contisciani, Jonathan Cardoso-Silva +10
Social network data are often constructed by incorporating reports from multiple individuals. However, it is not obvious how to reconcile discordant responses from individuals. The…
Convergence properties of optimal transport-based temporal networks
Diego Baptista, Caterina De Bacco
We study network properties of networks evolving in time based on optimal transport principles. These evolve from a structure covering uniformly a continuous space towards an optim…
Principled network extraction from images
Diego Baptista, Caterina De Bacco
Images of natural systems may represent patterns of network-like structure, which could reveal important information about the topological properties of the underlying subject. How…
Network extraction by routing optimization
Diego Baptista, Daniela Leite, Enrico Facca +2
Routing optimization is a relevant problem in many contexts. Solving directly this type of optimization problem is often computationally unfeasible. Recent studies suggest that one…