SOTAVerified

Community Detection

Community Detection is one of the fundamental problems in network analysis, where the goal is to find groups of nodes that are, in some sense, more similar to each other than to the other nodes.

Source: Randomized Spectral Clustering in Large-Scale Stochastic Block Models

Papers

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Showing 301–350 of 919 papers

TitleStatusHype
Deep Clustering via Community Detection—0
Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech—0
Dual regularized Laplacian spectral clustering methods on community detection—0
Dynamic change-point detection using similarity networks—0
Dynamic Community Detection into Analyzing of Wildfires Events—0
Dynamic Community Detection via Adversarial Temporal Graph Representation Learning—0
Dynamic Network Sampling for Community Detection—0
Dynamic Range in the C.elegans Brain Network—0
Early Detection of Research Trends—0
Early Identification of Pathogenic Social Media Accounts—0
An Empirical Comparison of the Summarization Power of Graph Clustering Methods—0
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results—0
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection—0
Effective Resistance-based Germination of Seed Sets for Community Detection—0
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly—0
Efficiently Detecting Overlapping Communities through Seeding and Semi-Supervised Learning—0
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings—0
Efficient Minimax Signal Detection on Graphs—0
Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI—0
A Noise-Resilient Semi-Supervised Graph Autoencoder for Overlapping Semantic Community Detection—0
A Flexible Fitness Function for Community Detection in Complex Networks—0
From Community Detection to Community Deception—0
An _p theory of PCA and spectral clustering—0
Enhancing Community Detection in Networks: A Comparative Analysis of Local Metrics and Hierarchical Algorithms—0
Enhancing Scalability of Optimal Kron-based Reduction of Networks (Opti-KRON) via Decomposition with Community Detection—0
Ensemble approaches for improving community detection methods—0
Community-Aware Graph Signal Processing—0
Entropic Spectral Learning for Large-Scale Graphs—0
Estimating mixed memberships in multi-layer networks—0
Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse Matrix—0
Estimating Mixed Memberships with Sharp Eigenvector Deviations—0
Consistency of regularized spectral clustering in degree-corrected mixed membership model—0
Estimating the number of communities in networks by spectral methods—0
Community Detection Guarantees Using Embeddings Learned by Node2Vec—0
Estimation of Number of Communities in Assortative Sparse Networks—0
Evaluating accuracy of community detection using the relative normalized mutual information—0
Evaluating Community Detection Algorithms for Progressively Evolving Graphs—0
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process—0
Community Detection and Matrix Completion with Social and Item Similarity Graphs—0
Evaluating the effect of topic consideration in identifying communities of rating-based social networks—0
Evidential community detection based on density peaks—0
Evidential Label Propagation Algorithm for Graphs—0
Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks—0
Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery—0
Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model—0
Exact Recovery of Community Detection in dependent Gaussian Mixture Models—0
Exact Recovery of Community Detection in k-Community Gaussian Mixture Model—0
EXIT Analysis for Community Detection—0
AceKG: A Large-scale Knowledge Graph for Academic Data Mining—0
DCC: A Cascade based Approach to Detect Communities in Social Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GNNAccuracy-NE2—Unverified
2CommunityGANF1-score0.09—Unverified
3Ego-SplittingF1-score0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1EdMotNMI0.42—Unverified
2CDNMFNMI0.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.48—Unverified
#ModelMetricClaimedVerifiedStatus
1CommunityGANF1-Score0.15—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.69—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.68—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.71—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.67—Unverified