Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Ruggeri, Nicolo
45  Ergebnisse:
Personensuche X
?
1

Message-passing on hypergraphs: detectability, phase transi..:

Ruggeri, Nicolò ; Lonardi, Alessandro ; De Bacco, Caterina
Journal of Statistical Mechanics: Theory and Experiment.  2024 (2024)  4 - p. 043403 , 2024
Link: https://doi.org/10.1088/..
 
?
2

Framework to generate hypergraphs with community structure:

Ruggeri, Nicolò ; Battiston, Federico ; De Bacco, Caterina
Physical Review E.  109 (2024)  3 - p. , 2024
Link: https://doi.org/10.1103/..
 
?
3

Hypergraphx: a library for higher-order network analysis:

Lotito, Quintino Francesco ; Contisciani, Martina ; De Bacco, Caterina...
Journal of Complex Networks.  11 (2023)  3 - p. , 2023
Link: https://doi.org/10.1093/..
 
?
4

Sampling on networks: estimating spectral centrality measur..:

Ruggeri, Nicolò ; De Bacco, Caterina
Applied Network Science.  5 (2020)  1 - p. , 2020
Link: https://doi.org/10.1007/..
 
?
5

Sampling on Networks: Estimating Eigenvector Centrality on ..:

, In: Complex Networks and Their Applications VIII; Studies in Computational Intelligence,
Ruggeri, Nicolò ; De Bacco, Caterina - p. 90-101 , 2019
Link: https://doi.org/10.1007/..
 
?
6

Community Detection in Large Hypergraphs:

Ruggeri, Nicolò ; Contisciani, Martina ; Battiston, Federico.
http://arxiv.org/abs/2301.11226.  , 2023
Link: http://arxiv.org/abs/230..
 
?
7

Hypergraphs with node attributes: structure and inference:

Badalyan, Anna ; Ruggeri, Nicolò ; De Bacco, Caterina
http://arxiv.org/abs/2311.03857.  , 2023
Link: http://arxiv.org/abs/231..
 
?
8

Community detection in large hypergraphs:

Ruggeri, Nicolò ; Contisciani, Martina ; Battiston, Federico.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337898/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
?
9

Community detection in large hypergraphs:

Ruggeri, Nicolò ; Contisciani, Martina ; Battiston, Federico.
info:eu-repo/semantics/altIdentifier/doi/10.1126/sciadv.adg9159.  , 2023
Link: https://hdl.handle.net/2..
 
?
10

Message-Passing on Hypergraphs: Detectability, Phase Transi..:

Ruggeri, Nicolò ; Lonardi, Alessandro ; De Bacco, Caterina
http://arxiv.org/abs/2312.00708.  , 2023
Link: http://arxiv.org/abs/231..
 
?
11

Hypergraphx: a library for higher-order network analysis:

Lotito, Quintino Francesco ; Contisciani, Martina ; De Bacco, Caterina...
http://arxiv.org/abs/2303.15356.  , 2023
Link: http://arxiv.org/abs/230..
 
?
12

Fast Rates for Noisy Interpolation Require Rethinking the E..:

Donhauser, Konstantin ; Ruggeri, Nicolo ; Stojanovic, Stefan.
http://arxiv.org/abs/2203.03597.  , 2022
Link: http://arxiv.org/abs/220..
 
?
13

Provable concept learning for interpretable predictions usi..:

Taeb, Armeen ; Ruggeri, Nicolo ; Schnuck, Carina.
http://arxiv.org/abs/2204.00492.  , 2022
Link: http://arxiv.org/abs/220..
 
?
14

A framework to generate hypergraphs with community structur:

Ruggeri, Nicolò ; Battiston, Federico ; De Bacco, Caterina
http://arxiv.org/abs/2212.08593.  , 2022
Link: http://arxiv.org/abs/221..
 
?
15

Sampling on networks: estimating spectral centrality measur..:

Ruggeri, Nicolò ; De Bacco, Caterina
http://arxiv.org/abs/2003.04823.  , 2020
Link: http://arxiv.org/abs/200..
 
1-15