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Stochastic Block Model

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Showing 1–50 of 370 papers

TitleStatusHype
Effective Stimulus Propagation in Neural Circuits: Driver Node Selection—0
Spectral clustering for dependent community Hawkes process models of temporal networks—0
Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs—0
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph CoarseningCode0
Community and hyperedge inference in multiple hypergraphsCode0
Consensus on Open Multi-Agent Systems Over Graphs Sampled from Graphons—0
Communities in the Kuramoto Model: Dynamics and Detection via Path SignaturesCode0
Multi-Agent Q-Learning Dynamics in Random Networks: Convergence due to Exploration and Sparsity—0
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model—0
Low degree conjecture implies sharp computational thresholds in stochastic block model—0
Algorithmic contiguity from low-degree conjecture and applications in correlated random graphs—0
Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models—0
Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms—0
Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery—0
Low coordinate degree algorithms II: Categorical signals and generalized stochastic block models—0
Matrix Concentration for Random Signed Graphs and Community Recovery in the Signed Stochastic Block Model—0
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models—0
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks—0
Multiplex Dirichlet stochastic block model for clustering multidimensional compositional networks—0
Community Detection with Heterogeneous Block Covariance Model—0
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs—0
Community detection with the Bethe-Hessian—0
Convergence Guarantees for the DeepWalk Embedding on Block Models—0
A Semidefinite Relaxation Approach for Fair Graph ClusteringCode0
Learning Communities from Equilibria of Nonlinear Opinion Dynamics—0
A computational transition for detecting correlated stochastic block models by low-degree polynomials—0
A Dirichlet stochastic block model for composition-weighted networks—0
Sharp Bounds for Poly-GNNs and the Effect of Graph Noise—0
Estimating the number of clusters of a Block Markov Chain—0
Bayesian modelling of VAR precision matrices using stochastic block networks—0
Modularity aided consistent attributed graph clustering via coarsening—0
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural NetworksCode1
Introducing the modularity graph: an application to brain functional networks—0
Exact Community Recovery under Side Information: Optimality of Spectral Algorithms—0
Optimal Bailouts in Diversified Financial Networks—0
Unified Fourier bases for signals on random graphs with group symmetries—0
Network two-sample test for block models—0
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models—0
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering—0
Analysis of Corrected Graph Convolutions—0
Characterizing the Influence of Topology on Graph Learning Tasks—0
CSA-Trans: Code Structure Aware Transformer for ASTCode0
Estimating mixed memberships in multi-layer networks—0
Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block ModelsCode0
Community detection by spectral methods in multi-layer networks—0
Almost Surely Asymptotically Constant Graph Neural NetworksCode0
VEC-SBM: Optimal Community Detection with Vectorial Edges CovariatesCode0
Estimating Stochastic Block Models in the Presence of Covariates—0
Community Detection in the Multi-View Stochastic Block Model—0
Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models—0
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