Francesco Tudisco

CoRR, 2024

Contractivity of neural ODEs: an eigenvalue optimization problem.

[BibT_eX]

[DOI]

CoRR, 2024

Neural Rank Collapse: Weight Decay and Small Within-Class Variability Yield Low-Rank Bias.

[BibT_eX]

[DOI]

CoRR, 2024

Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex.

[BibT_eX]

[DOI]

Anton Savostianov

Nicola Guglielmi

CoRR, 2024

2023

Quantifying the Structural Stability of Simplicial Homology.

[BibT_eX]

[DOI]

Nicola Guglielmi

Anton Savostianov

J. Sci. Comput., October, 2023

Nonlinear Perron-Frobenius Theorems for Nonnegative Tensors.

[BibT_eX]

[DOI]

SIAM Rev., May, 2023

Core-Periphery Detection in Hypergraphs.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., March, 2023

Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent.

[BibT_eX]

[DOI]

EURO J. Comput. Optim., January, 2023

A nonlinear spectral core-periphery detection method for multiplex networks.

[BibT_eX]

[DOI]

Kai Bergermann

Martin Stoll

CoRR, 2023

Learning the effective order of a hypergraph dynamical system.

[BibT_eX]

[DOI]

CoRR, 2023

Rank-adaptive spectral pruning of convolutional layers during training.

[BibT_eX]

[DOI]

CoRR, 2023

A nonlinear model of opinion dynamics on networks with friction-inspired stubbornness.

[BibT_eX]

[DOI]

David N. Reynolds

CoRR, 2023

Collaboration and topic switches in science.

[BibT_eX]

[DOI]

CoRR, 2023

Optimizing network robustness via Krylov subspaces.

[BibT_eX]

[DOI]

Stefano Massei

CoRR, 2023

Robust low-rank training via approximate orthonormal constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

A variance-aware multiobjective Louvain-like method for community detection in multiplex networks.

[BibT_eX]

[DOI]

J. Complex Networks, October, 2022

Nonlinear Spectral Duality.

[BibT_eX]

[DOI]

Dong Zhang

CoRR, 2022

Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer.

[BibT_eX]

[DOI]

Catherine F. Higham

CoRR, 2022

Nodal domain count for the generalized graph p-Laplacian.

[BibT_eX]

[DOI]

Piero Deidda

Mario Putti

CoRR, 2022

Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Core-periphery Partitioning and Quantum Annealing.

[BibT_eX]

[DOI]

Catherine F. Higham

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Nonlinear Feature Diffusion on Hypergraphs.

[BibT_eX]

[DOI]

Konstantin Prokopchik

Austin R. Benson

Proceedings of the International Conference on Machine Learning, 2022

2021

Generating large scale-free networks with the Chung-Lu random graph model.

[BibT_eX]

[DOI]

Arianna Tonetto

Networks, 2021

The Global Convergence of the Nonlinear Power Method for Mixed-Subordinate Matrix Norms.

[BibT_eX]

[DOI]

J. Sci. Comput., 2021

The self-consistent field iteration for p-spectral clustering.

[BibT_eX]

[DOI]

Parikshit Upadhyaya

Elias Jarlebring

CoRR, 2021

Louvain-like Methods for Community Detection in Multi-Layer Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Hitting times for non-backtracking random walks.

[BibT_eX]

[DOI]

Arianna Tonetto

CoRR, 2021

A nonlinear diffusion method for semi-supervised learning on hypergraphs.

[BibT_eX]

[DOI]

Konstantin Prokopchik

Austin R. Benson

CoRR, 2021

Node and Edge Eigenvector Centrality for Hypergraphs.

[BibT_eX]

[DOI]

CoRR, 2021

Nonlinear Higher-Order Label Spreading.

[BibT_eX]

[DOI]

Austin R. Benson

Konstantin Prokopchik

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Ergodicity Coefficients for Higher-Order Stochastic Processes.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2020

Total Variation Based Community Detection Using a Nonlinear Optimization Approach.

[BibT_eX]

[DOI]

Andrea Cristofari

Francesco Rinaldi

SIAM J. Appl. Math., 2020

Extrapolation methods for fixed-point multilinear PageRank computations.

[BibT_eX]

[DOI]

Stefano Cipolla

Michela Redivo-Zaglia

Numer. Linear Algebra Appl., 2020

Computing the norm of nonnegative matrices and the log-Sobolev constant of Markov chains.

[BibT_eX]

[DOI]

CoRR, 2020

Nonlocal PageRank.

[BibT_eX]

[DOI]

Stefano Cipolla

Fabio Durastante

CoRR, 2020

2019

A Nonlinear Spectral Method for Core-Periphery Detection in Networks.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2019

A Unifying Perron-Frobenius Theorem for Nonnegative Tensors via Multihomogeneous Maps.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2019

The Perron-Frobenius Theorem for Multihomogeneous Mappings.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2019

A framework for second order eigenvector centralities and clustering coefficients.

[BibT_eX]

[DOI]

Francesca Arrigo

CoRR, 2019

Shifted and extrapolated power methods for tensor 𝓁<sup>p</sup>-eigenpairs.

[BibT_eX]

[DOI]

Stefano Cipolla

Michela Redivo-Zaglia

CoRR, 2019

Higher-order ergodicity coefficients.

[BibT_eX]

[DOI]

CoRR, 2019

A fast and robust kernel optimization method for core-periphery detection in directed and weighted graphs.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2019

Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS.

[BibT_eX]

[DOI]

Francesca Arrigo

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Spectral Clustering of Signed Graphs via Matrix Power Means.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

On the Stability of Network Indices Defined by Means of Matrix Functions.

[BibT_eX]

[DOI]

Stefano Pozza

SIAM J. Matrix Anal. Appl., 2018

Community Detection in Networks via Nonlinear Modularity Eigenvectors.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2018

Node and Layer Eigenvector Centralities for Multiplex Networks.

[BibT_eX]

[DOI]

Francesca Arrigo

SIAM J. Appl. Math., 2018

A unifying Perron-Frobenius theorem for nonnegative tensors via multi-homogeneous maps.

[BibT_eX]

[DOI]

CoRR, 2018

The Power Mean Laplacian for Multilayer Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

An Efficient Multilinear Optimization Framework for Hypergraph Matching.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

A modularity based spectral method for simultaneous community and anti-community detection.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Nodal domain theorem for the graph p-Laplacian.

[BibT_eX]

[DOI]

CoRR, 2016

Localization of dominant eigenpairs and planted communities by means of Frobenius inner products.

[BibT_eX]

[DOI]

CoRR, 2016

Modularity bounds for clusters located by leading eigenvectors of the normalized modularity matrix.

[BibT_eX]

[DOI]

CoRR, 2016

Clustering Signed Networks with the Geometric Mean of Laplacians.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Generalized modularity matrices.

[BibT_eX]

[DOI]

CoRR, 2015

2014

An Algebraic Analysis of the Graph Modularity.

[BibT_eX]

[DOI]