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Stochastic Block Model

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Showing 101–125 of 370 papers

TitleStatusHype
Characterizing the Influence of Topology on Graph Learning Tasks—0
Density Evolution in the Degree-correlated Stochastic Block Model—0
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach—0
Detecting Overlapping Communities in Networks Using Spectral Methods—0
Detection in the stochastic block model with multiple clusters: proof of the achievability conjectures, acyclic BP, and the information-computation gap—0
Differentially Private Community Detection for Stochastic Block Models—0
Clustering multilayer graphs with missing nodes—0
An Ensemble Framework for Detecting Community Changes in Dynamic Networks—0
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods—0
Disentangling bipartite and core-periphery structure in financial networks—0
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks—0
Dual regularized Laplacian spectral clustering methods on community detection—0
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks—0
Effective Stimulus Propagation in Neural Circuits: Driver Node Selection—0
Effects of Graph Convolutions in Multi-layer Networks—0
Efficient inference in stochastic block models with vertex labels—0
Gap-Free Clustering: Sensitivity and Robustness of SDP—0
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings—0
Estimating mixed memberships in multi-layer networks—0
Estimating Stochastic Block Models in the Presence of Covariates—0
Estimating the number of clusters of a Block Markov Chain—0
Estimating the Size of a Large Network and its Communities from a Random Sample—0
Estimation in Tensor Ising Models—0
Estimation of dense stochastic block models visited by random walks—0
Algorithmic contiguity from low-degree conjecture and applications in correlated random graphs—0
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