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Stochastic Block Model

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Showing 226–250 of 370 papers

TitleStatusHype
Information Recovery from Pairwise Measurements—0
Information-theoretic Limits for Community Detection in Network Models—0
Information-Theoretic Limits for the Matrix Tensor Product—0
Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection—0
Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model—0
Introducing the modularity graph: an application to brain functional networks—0
K-sets+: a Linear-time Clustering Algorithm for Data Points with a Sparse Similarity Measure—0
Learning Coherent Clusters in Weakly-Connected Network Systems—0
Learning Communities from Equilibria of Nonlinear Opinion Dynamics—0
Learning Communities in the Presence of Errors—0
LEARNING GUARANTEES FOR GRAPH CONVOLUTIONAL NETWORKS ON THE STOCHASTIC BLOCK MODEL—0
Learning Latent Block Structure in Weighted Networks—0
Learning with latent group sparsity via heat flow dynamics on networks—0
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings—0
Local Algorithms for Block Models with Side Information—0
Lost in the Shuffle: Testing Power in the Presence of Errorful Network Vertex Labels—0
Low coordinate degree algorithms II: Categorical signals and generalized stochastic block models—0
Low degree conjecture implies sharp computational thresholds in stochastic block model—0
Matrix Completion with Hierarchical Graph Side Information—0
Matrix Concentration for Random Signed Graphs and Community Recovery in the Signed Stochastic Block Model—0
Merge-split Markov chain Monte Carlo for community detection—0
Minimax Rates for Robust Community Detection—0
Modelling time evolving interactions in networks through a non stationary extension of stochastic block models—0
Model Selection for Degree-corrected Block Models—0
Modularity aided consistent attributed graph clustering via coarsening—0
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