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Stochastic Block Model

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TitleStatusHype
Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery—0
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model—0
Exact recovery and sharp thresholds of Stochastic Ising Block Model—0
Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model—0
Exact Recovery in the General Hypergraph Stochastic Block Model—0
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm—0
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models—0
Exponential error rates of SDP for block models: Beyond Grothendieck's inequality—0
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks—0
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos—0
From which world is your graph—0
Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models—0
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs—0
Global Minima, Recoverability Thresholds, and Higher-Order Structure in GNNS—0
Gradient Coding via the Stochastic Block Model—0
Graph Clustering: Block-models and model free results—0
Graph Clustering With Missing Data: Convex Algorithms and Analysis—0
Hermitian matrices for clustering directed graphs: insights and applications—0
Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models—0
Hierarchical Clustering: Objective Functions and Algorithms—0
Hierarchical community detection by recursive partitioning—0
Higher-Order Spectral Clustering under Superimposed Stochastic Block Model—0
How Robust are Reconstruction Thresholds for Community Detection?—0
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE—0
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model—0
Hypothesis Testing for Equality of Latent Positions in Random Graphs—0
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs—0
Impact of regularization on Spectral Clustering—0
Improved Graph Clustering—0
The Feature-First Block Model—0
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
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