| Clustering signed networks with the geometric mean of Laplacians P Mercado, F Tudisco, M Hein Advances in Neural Information Processing Systems 29 (NeurIPS) 29, 2016 | 29 | 2016 |
| Node and layer eigenvector centralities for multiplex networks F Tudisco, F Arrigo, A Gautier SIAM Journal on Applied Mathematics 78 (2), 853-876, 2018 | 28 | 2018 |
| The Perron-Frobenius theorem for multihomogeneous mappings A Gautier, F Tudisco, M Hein SIAM Journal on Matrix Analysis and Applications 40 (3), 1179-1205, 2019 | 25* | 2019 |
| An algebraic analysis of the graph modularity D Fasino, F Tudisco SIAM Journal on Matrix Analysis and Applications 35 (3), 997-1018, 2014 | 25 | 2014 |
| Generalized modularity matrices D Fasino, F Tudisco Linear Algebra and its Applications 502, 327-345, 2016 | 19 | 2016 |
| An efficient multilinear optimization framework for hypergraph matching Q Nguyen, F Tudisco, A Gautier, M Hein IEEE transactions on pattern analysis and machine intelligence 39 (6), 1054-1075, 2016 | 18 | 2016 |
| A nonlinear spectral method for core-periphery detection in networks F Tudisco, DJ Higham SIAM Journal on Mathematics of Data Science 1 (2), 269-292, 2019 | 16 | 2019 |
| The power mean Laplacian for multilayer graph clustering P Mercado, A Gautier, F Tudisco, M Hein Proceedings of the Twenty-First International Conference on Artificial …, 2018 | 16 | 2018 |
| A nodal domain theorem and a higher-order Cheeger inequality for the graph p-Laplacian F Tudisco, M Hein EMS Journal of Spectral Theory 8, 883-908, 2018 | 16 | 2018 |
| A unifying Perron-Frobenius theorem for nonnegative tensors via multihomogeneous maps A Gautier, F Tudisco, M Hein SIAM Journal on Matrix Analysis and Applications 40 (3), 1206-1231, 2019 | 15 | 2019 |
| A modularity based spectral method for simultaneous community and anti-community detection D Fasino, F Tudisco Linear Algebra and its Applications, 2018, 2017 | 14 | 2017 |
| Multi-dimensional, multilayer, nonlinear and dynamic HITS F Arrigo, F Tudisco Proceedings of the 2019 SIAM International Conference on Data Mining, 369-377, 2019 | 13 | 2019 |
| Extrapolation methods for fixed‐point multilinear PageRank computations S Cipolla, M Redivo‐Zaglia, F Tudisco Numerical Linear Algebra with Applications 27 (2), e2280, 2020 | 11 | 2020 |
| Community detection in networks via nonlinear modularity eigenvectors F Tudisco, P Mercado, M Hein SIAM Journal on Applied Mathematics 78 (5), 2393-2419, 2018 | 11 | 2018 |
| Spectral Clustering of Signed Graphs via Matrix Power Means P Mercado, F Tudisco, M Hein International Conference on Machine Learning (ICML), 4526--4536, 2019 | 10 | 2019 |
| The contractivity of cone-preserving multilinear mappings A Gautier, F Tudisco Nonlinearity, 2019 | 10 | 2019 |
| On complex power nonnegative matrices F Tudisco, V Cardinali, C Di Fiore Linear Algebra and its Applications 471, 449-468, 2015 | 9 | 2015 |
| Shifted and extrapolated power methods for tensor -eigenpairs S Cipolla, M Redivo-Zaglia, F Tudisco arXiv preprint arXiv:1909.11964, 2019 | 8 | 2019 |
| A preconditioning approach to the pagerank computation problem F Tudisco, C Di Fiore Linear algebra and its applications 435 (9), 2222-2246, 2011 | 8 | 2011 |
| Generalized matrix means for semi-supervised learning with multilayer graphs P Mercado, F Tudisco, M Hein Advances in neural information processing systems, 14877-14886, 2019 | 7 | 2019 |
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
