10 citations · 14 across the 15 of their papers we have counts for
15 papers
The non-backtracking random walk and its usage for vertex clustering
Marianna Bolla
In case of sparse graphs, relation between the real eigenvalues of the non-backtracking matrix and those of the non-backtracking transition probability matrix is considered with re…
Structure and Noise in Dense and Sparse Random Graphs: Percolated Stochastic Block Model via the EM Algorithm and Belief Propagation with Non-Backtracking Spectra
Marianna Bolla, Hannu Reittu, Runtian Zhou
In this survey paper it is illustrated how spectral clustering methods for unweighted graphs are adapted to the dense and sparse regimes. Whereas Laplacian and modularity based spe…
Causal Vector Autoregression Enhanced with Covariance and Order Selection
Marianna Bolla, Dongze Ye, Haoyu Wang +6
A causal vector autoregressive (CVAR) model is introduced for weakly stationary multivariate processes, combining a recursive directed graphical model for the contemporaneous compo…
Regularity based spectral clustering and mapping the Fiedler-carpet
Marianna Bolla, Vilas Winstein, Tao You +2
Spectral clustering is discussed from many perspectives, by extending it to rectangular arrays and discrepancy minimization too. Near optimal clusters are obtained with singular va…
Estimating parameters of a directed weighted graph model with beta-distributed edge-weights
Marianna Bolla, Ahmed Elbanna, Jozsef Mala
We introduce a directed, weighted random graph model, where the edge-weights are independent and beta-distributed with parameters depending on their endpoints. We will show that th…
Properties of the multiway discrepancy
Marianna Bolla, Edward Kim, Cheng Wai Koo
Some properties of the multiway discrepanc of rectangular matrices of nonnegative entries are discussed. We are able to prove the continuity of this discrepancy, as well as some st…