8 citations · 11 across the 6 of their papers we have counts for
6 papers
GmGM: a Fast Multi-Axis Gaussian Graphical Model
Bailey Andrew, David Westhead, Luisa Cutillo
This paper introduces the Gaussian multi-Graphical Model, a model to construct sparse graph representations of matrix- and tensor-variate data. We generalize prior work in this are…
Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data
Sijia Li, Martín López-García, Neil D. Lawrence +1
Classically, statistical datasets have a larger number of data points than features (). The standard model of classical statistics caters for the case where data points are…
Extending Bootstrap AMG for Clustering of Attributed Graphs
Pasqua D'Ambra, Panayot S. Vassilevski, Luisa Cutillo
In this paper we propose a new approach to detect clusters in undirected graphs with attributed vertices. We incorporate structural and attribute similarities between the vertices…
ROBustness In Network (robin): an R package for Comparison and Validation of communities
Valeria Policastro, Dario Righelli, Annamaria Carissimo +2
In network analysis, many community detection algorithms have been developed, however, their implementation leaves unaddressed the question of the statistical validation of the res…
On community structure validation in real networks
Mirko Signorelli, Luisa Cutillo
Community structure is a commonly observed feature of real networks. The term refers to the presence in a network of groups of nodes (communities) that feature high internal connec…
Validation of community robustness
Annamaria Carissimo, Luisa Cutillo, Italia Defeis
The large amount of work on community detection and its applications leaves unaddressed one important question: the statistical validation of the results. In this paper we present…