05-12-2024
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Computational Aspects of Complex Networks
26-11-2024
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Talk @ LoRAINNe’24 workshop
18-11-2024
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GAIL Fellow at the Generative AI Lab
02-11-2024
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Numerical Analysis Seminar at University of Bath
27-10-2024
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The graph $\infty$-Laplacian eigenvalue problem
24-10-2024
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GeoLoRA: Geometric integration for parameter efficient fine-tuning
17-10-2024
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Low-Rank Adversarial PGD Attack
11-10-2024
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Solaris, the first foundation model for the Sun
26-09-2024
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Paper accepted @ NeurIPS 2024
19-09-2024
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Bayes fellowship
10-09-2024
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Paper accepted @ Nature Human Behaviour
09-09-2024
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What we should learn from pandemic publishing
03-09-2024
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Recent advancements in uncertainty quantification for scientific machine learning, artificial intelligence and sampling algorithms
01-09-2024
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New postdoc joining our group
08-08-2024
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20-07-2024
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Paper accepted @ SIAM Journal on Matrix Analysis
13-06-2024
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Testing Quantum and Simulated Annealers on the Drone Delivery Packing Problem
12-06-2024
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Paper accepted @ Proceedings Royal Society A
20-05-2024
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Talk @ ICMS Big Data Inverse Problems Workshop
16-05-2024
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Talk @ SIAM LA 2024
12-05-2024
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Low-rank Numerical Patterns of Dynamical Systems and Neural Networks
11-05-2024
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The Linear Algebra of Multilayer Networks
10-05-2024
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Geometry-aware training of factorized layers in tensor Tucker format
09-05-2024
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Dr Anton Savostianov
01-05-2024
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Paper accepted @ ICML 2024
25-04-2024
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Paper accepted @ Science Advances
11-04-2024
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Numerical Analysis in the Era of Data Science
05-03-2024
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Subhomogeneous Deep Equilibrium Models
03-03-2024
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Paper accepted @ AI4DiffEqtnsInSci ICLR Workshop
01-03-2024
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Turing fellowship
28-02-2024
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Solaris: A Foundation Model for the Sun
28-02-2024
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Mixture of Neural Operators: Incorporating Historical Information for Longer Rollouts
07-02-2024
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Neural rank collapse: Weight decay and small within-class variability yield low-rank bias
27-01-2024
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Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex
13-01-2024
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Collaboration and topic switches in science
14-12-2023
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Call for PhD applications @ Maxwell Institute’s Graduate School
12-12-2023
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Paper accepted on ESAIM: M2AN
06-11-2023
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Visiting MaLGa Machine Learning Genoa Center
01-11-2023
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A nonlinear spectral core-periphery detection method for multiplex networks
06-10-2023
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Paper accepted on EURO J Computational Optimization
22-09-2023
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Paper accepted on NeurIPS 2023
06-06-2023
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Learning the effective order of a hypergraph dynamical system
05-06-2023
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Robust low-rank training via approximate orthonormal constraints
21-05-2023
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DLRA Workshop @ EPFL
09-05-2023
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SIAM SIGEST paper available online
09-05-2023
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Numerical Linear Algebra Days @ GSSI
08-05-2023
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Nonlinear Perron-Frobenius theorems for nonnegative tensors
25-04-2023
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Paper accepted @ ICML 2023
18-04-2023
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Joining the editorial board of CMM
18-04-2023
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A nonlinear model of opinion dynamics on networks with friction-inspired stubbornness
15-04-2023
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Plenary talk at IC2S2 2023 conference
23-03-2023
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Three talks at NetSci 2023 conference
20-03-2023
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SIAM SIGEST Outstanding paper award
10-03-2023
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Optimizing network robustness via Krylov subspaces
08-02-2023
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Presenting today @ University of Rome TorVergata
28-01-2023
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Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent
11-01-2023
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Quantifying the structural stability of simplicial homology
05-01-2023
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Paper accepted on Applied and Computational Harmonic Analysis
19-12-2022
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17-12-2022
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Data Science in Action at University of Padua
09-12-2022
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Presenting today @ Örebro University
23-11-2022
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28-10-2022
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Presenting today @ Texas A&M University
15-09-2022
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Paper accepted on NeurIPS 2022
14-09-2022
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Nonlinear Spectral Duality
19-08-2022
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Report on the XXI Householder Symposium
13-06-2022
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Paper accepted on Journal of Complex Networks
13-06-2022
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Paper accepted on European Journal of Applied Mathematics
11-06-2022
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Open postdoc position GSSI-SNS
03-06-2022
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Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
25-05-2022
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Presenting today @ USTC Hefei
18-05-2022
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Paper accepted @ KDD 2022
15-05-2022
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Paper accepted @ ICML 2022
09-05-2022
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Numerical Methods for Compression and Learning
01-05-2022
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A Variance-aware Multiobjective Louvain-like Method for Community Detection in Multiplex Networks
25-04-2022
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Learning the right layers: a data-driven layer-aggregation strategy for semi-supervised learning on multilayer graphs
07-04-2022
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Talk @ Calcolo Scientifico e Modelli Matematici (CSMM) workshop
25-02-2022
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Core-periphery detection in hypergraphs
15-02-2022
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13-02-2022
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Traveling to Naples for the 2ggALN
10-02-2022
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Presenting today @ MPI Leipzig
10-01-2022
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STANDS pro3 grant
05-01-2022
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Core-periphery partitioning and quantum annealing
04-01-2022
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Nodal domain count for the generalized graph $p$-Laplacian
21-11-2021
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COMPiLE Reading Group
18-11-2021
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The self-consistent field iteration for p-spectral clustering
11-11-2021
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Talk @ Numerical Methods and Scientific Computing (NMSC) conference
27-09-2021
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Top 20 most cited papers on SIMAX
22-09-2021
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08-06-2021
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Paper open-access on Journal of Scientific Computing
01-06-2021
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Hitting times for second-order random walks
18-05-2021
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Minitutorial @ SIAM LA 2021
17-05-2021
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Minisymposium @ SIAM LA
20-04-2021
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Presenting today @ TU Eindhoven
09-04-2021
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Presenting today @ Joint GSSI-Sapienza AI seminar
01-04-2021
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Nonlinear Feature Diffusion on Hypergraphs
18-01-2021
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Node and Edge Eigenvector Centrality for Hypergraphs
15-01-2021
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Paper accepted on The Web Conference 2021
30-11-2020
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Presenting today @ Cornell
17-11-2020
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Presenting today @ UniPisa
06-10-2020
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Paper accepted on ESAIM: Math Modelling and Num Analysis
16-09-2020
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Minitutorial @ SIAM LA 2021
17-08-2020
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Editor for SIAM Review
21-07-2020
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Paper accepted on SIAM J Math of Data Science
17-07-2020
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Talk @ SIAM Imaging Science Conference
28-06-2020
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SIAM NS happening virtually on July 9 and 10
25-06-2020
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MSCA Day @ GSSI
16-06-2020
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Virtual minisymposium @ SIAM MDS
10-06-2020
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Nonlinear Higher-Order Label Spreading
04-06-2020
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Data Science Open Day @ Uni of Padua
10-05-2020
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Ergodicity coefficients for higher-order stochastic processes
21-04-2020
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One World seminars
17-03-2020
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Paper accepted on SIAM Applied Mathematics
26-02-2020
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Visit and Talk @ Uni Kent
21-02-2020
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The Global Convergence of the Nonlinear Power Method for Mixed-Subordinate Matrix Norms
20-02-2020
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Talk @ Rutherford Appleton Laboratory
07-02-2020
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Paper accepted on Proc Royal Society A
07-02-2020
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Doctoral course @ Uni Padua
30-01-2020
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Plenary talk @ HHXXI
29-01-2020
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Nonlocal PageRank
23-01-2020
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03-12-2019
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SIAM Workshop on Network Science 2020
15-11-2019
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Rome-Moscow school 2020
04-11-2019
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Generalized matrix means for semisupervised learning with multilayer graphs
29-10-2019
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A framework for second order eigenvector centralities and clustering coefficients
25-10-2019
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Generating large scale-free networks with the Chung-Lu random graph model
26-09-2019
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Shifted and extrapolated power methods for tensor $\ell^p$-eigenpairs
03-09-2019
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Paper accepted on NeurIPS19
01-09-2019
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A fast and robust kernel optimization method for core–periphery detection in directed and weighted graphs
06-08-2019
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Total variation based community detection using a nonlinear optimization approach
03-07-2019
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Visiting City University of Hong Kong
17-06-2019
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Exciting Strathclyde conferences coming soon: NACONF19 & EUROPT19
10-06-2019
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Extrapolation methods for fixed-point multilinear PageRank computations
01-06-2019
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Biennial Numerical Analysis Conference
24-04-2019
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Spectral Clustering of Signed Graphs via Matrix Power Means
20-04-2019
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Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS
10-04-2019
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ICIAM19: International Congress on Industrial and Applied Mathematics
05-04-2019
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A nonlinear spectral method for core-periphery detection in networks
01-03-2019
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ALAMA NLA 2019
15-11-2018
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Research visit @ Uni of Udine
13-09-2018
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Brief lecture course at Rome-Moscow school 2018
14-08-2018
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The contractivity of cone-preserving multilinear mappings
22-07-2018
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Visiting KTH Royal Institute of Technology
23-05-2018
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Two conferences in June
02-05-2018
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SIAM Applied Linear Algebra 2018
20-02-2018
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The Power Mean Laplacian for Multilayer Graph Clustering
18-02-2018
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The expected adjacency and modularity matrices in the degree corrected stochastic block model
30-01-2018
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Visiting University of Padua
17-01-2018
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A unifying Perron-Frobenius theorem for nonnegative tensors via multihomogeneous maps
18-12-2017
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Visiting Tufts University
09-12-2017
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SIAM ALA 18 Conference in Hong Kong
26-11-2017
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Rome Moscow School 2018
24-11-2017
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ZiF Final Conference
24-11-2017
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Node and layer eigenvector centralities for multiplex networks
30-09-2017
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Modularity bounds for clusters located by leading eigenvectors of the normalized modularity matrix
20-09-2017
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A modularity based spectral method for simultaneous community and anti-community detection
15-09-2017
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On the stability of network indices defined by means of matrix functions
18-08-2017
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Community detection in networks via nonlinear modularity eigenvectors
03-07-2017
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Starting at Strathclyde
01-07-2017
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Euler-Richardson method preconditioned by weakly stochastic matrix algebras: a potential contribution to Pagerank computation
01-06-2017
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An Efficient Multilinear Optimization Framework for Hypergraph Matching
18-03-2017
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A nodal domain theorem and a higher-order Cheeger inequality for the graph p-Laplacian
14-02-2017
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The Perron-Frobenius theorem for multihomogeneous mappings
01-09-2016
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Localization of dominant eigenpairs and planted communities by means of Frobenius inner products
01-08-2016
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Generalized modularity matrices
01-08-2016
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Clustering Signed Networks with the Geometric Mean of Laplacians
01-05-2016
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Lower triangular Toeplitz-Ramanujan systems whose solution yields the Bernoulli numbers
03-08-2015
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A note on certain ergodicity coefficients
16-04-2015
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Adaptive matrix algebras in unconstrained minimization
15-04-2015
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On complex power nonnegative matrices
28-09-2014
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An algebraic analysis of the graph modularity
28-09-2013
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Optimal Rank Matrix Algebras Preconditioners
28-09-2011
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A preconditioning approach to the Pagerank computation
01-01-0001
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Contractivity of neural ODEs: an eigenvalue optimization problem