SOTAVerified

Stochastic Block Model

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 370 papers

TitleStatusHype
Hierarchical community detection by recursive partitioning—0
Partial recovery bounds for clustering with the relaxed Kmeans—0
A likelihood-ratio type test for stochastic block models with bounded degrees—0
Pairwise Covariates-adjusted Block Model for Community Detection—0
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach—0
Efficient inference in stochastic block models with vertex labels—0
Universality of the stochastic block model—0
Reconstructing networks with unknown and heterogeneous errors—0
Gradient Coding via the Stochastic Block Model—0
Scalable and Robust Community Detection with Randomized Sketching—0
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model—0
Generative models for local network community detectionCode0
Connectivity in Random Annulus Graphs and the Geometric Block Model—0
Multi-view Banded Spectral Clustering with Application to ICD9 ClusteringCode0
Optimal Bipartite Network Clustering—0
Analysis of spectral clustering algorithms for community detection: the general bipartite setting—0
Stochastic Block Models with Multiple Continuous Attributes—0
The Power Mean Laplacian for Multilayer Graph ClusteringCode0
Evaluating Overfit and Underfit in Models of Network Community StructureCode0
Information-theoretic Limits for Community Detection in Network Models—0
Vertex nomination: The canonical sampling and the extended spectral nomination schemes—0
On the Minimax Misclassification Ratio of Hypergraph Community Detection—0
Active Community Detection with Maximal Expected Model Change—0
From which world is your graph—0
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks—0
Fast and reliable inference algorithm for hierarchical stochastic block models—0
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection—0
A Bayesian Method for Joint Clustering of Vectorial Data and Network DataCode0
Algorithmic detectability threshold of the stochastic block model—0
Bayesian estimation from few samples: community detection and related problems—0
A statistical interpretation of spectral embedding: the generalised random dot product graph—0
The Geometric Block Model—0
Rates of Convergence of Spectral Methods for Graphon Estimation—0
A Compressive Sensing Approach to Community Detection with Applications—0
A network approach to topic modelsCode1
An Ensemble Framework for Detecting Community Changes in Dynamic Networks—0
Query Complexity of Clustering with Side Information—0
Clustering with Noisy Queries—0
Exponential error rates of SDP for block models: Beyond Grothendieck's inequality—0
Supervised Community Detection with Line Graph Neural NetworksCode0
K-sets+: a Linear-time Clustering Algorithm for Data Points with a Sparse Similarity Measure—0
Semiparametric spectral modeling of the Drosophila connectomeCode0
Spectral clustering in the dynamic stochastic block model—0
Hierarchical Clustering: Objective Functions and Algorithms—0
Community Detection and Stochastic Block Models—0
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality—0
On Consistency of Compressive Spectral Clustering—0
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation—0
Community Detection on Evolving Graphs—0
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models—0
Show:102550
← PrevPage 6 of 8Next →

No leaderboard results yet.