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261 results on '"Tudisco, Francesco"'

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1. Efficient Sparsification of Simplicial Complexes via Local Densities of States

2. Rethinking Oversmoothing in Graph Neural Networks: A Rank-Based Perspective

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3. Stability of neural ODEs by a control over the expansivity of their flows

4. Core-periphery detection in multilayer networks

5. Solaris: A Foundation Model of the Sun

6. The graph $\infty$-Laplacian eigenvalue problem

7. GeoLoRA: Geometric integration for parameter efficient fine-tuning

8. Low-Rank Adversarial PGD Attack

9. What we should learn from pandemic publishing

10. Testing Quantum and Simulated Annealers on the Drone Delivery Packing Problem

11. Subhomogeneous Deep Equilibrium Models

12. Contractivity of neural ODEs: an eigenvalue optimization problem

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

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

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

17. Learning the effective order of a hypergraph dynamical system

18. Robust low-rank training via approximate orthonormal constraints

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

20. Geometry-aware training of factorized layers in tensor Tucker format

21. Unique Nash equilibrium of a nonlinear model of opinion dynamics on networks with friction-inspired stubbornness

22. Optimizing network robustness via Krylov subspaces

23. Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent

24. Quantifying the structural stability of simplicial homology

25. Nonlinear Spectral Duality

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

27. Core-periphery detection in hypergraphs

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

29. Nodal domain count for the generalized graph $p$-Laplacian

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

31. A Variance-aware Multiobjective Louvain-like Method for Community Detection in Multiplex Networks

32. Hitting times for second-order random walks

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

34. Node and Edge Nonlinear Eigenvector Centrality for Hypergraphs

35. Nonlinear Higher-Order Label Spreading

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

37. Nonlocal PageRank

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

39. A framework for second order eigenvector centralities and clustering coefficients

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

41. Shifted and extrapolated power methods for tensor $\ell^p$-eigenpairs

42. Total variation based community detection using a nonlinear optimization approach

43. Ergodicity coefficients for higher-order stochastic processes

44. Extrapolation Methods for fixed-point Multilinear PageRank computations

45. Spectral Clustering of Signed Graphs via Matrix Power Means

47. Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS

48. The contractivity of cone-preserving multilinear mappings

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

50. The Power Mean Laplacian for Multilayer Graph Clustering