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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 919 papers

TitleStatusHype
A Structural-Clustering Based Active Learning for Graph Neural NetworksCode0
CGC: Contrastive Graph Clustering for Community Detection and TrackingCode0
Community detection in networks without observing edgesCode0
Effective Hierarchical Information Threading Using Network Community DetectionCode0
Efficiently inferring community structure in bipartite networksCode0
Detecting Propagators of Disinformation on Twitter Using Quantitative Discursive AnalysisCode0
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network EmbeddingCode0
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral FiltersCode0
Non-Convex Exact Community Recovery in Stochastic Block ModelCode0
Community detection in sparse time-evolving graphs with a dynamical Bethe-HessianCode0
On Graph Neural Networks versus Graph-Augmented MLPsCode0
On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariatesCode0
Online Tensor Methods for Learning Latent Variable ModelsCode0
Community Detection in the Stochastic Block Model by Mixed Integer ProgrammingCode0
Overlapping community detection in networks via sparse spectral decompositionCode0
Community Detection in Weighted Multilayer Networks with Ambient NoiseCode0
Disentangling homophily, community structure and triadic closure in networksCode0
Overlapping Community Detection with Graph Neural NetworksCode0
Community detection over a heterogeneous population of non-aligned networksCode0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
Community detection using diffusion informationCode0
Detecting community structure using label propagation with weighted coherent neighborhood propinquityCode0
Ego-splitting Framework: from Non-Overlapping to Overlapping ClustersCode0
Popularity Adjusted Block Models are Generalized Random Dot Product GraphsCode0
Properties and Performance of the ABCDe Random Graph Model with Community StructureCode0
PRUNE: Preserving Proximity and Global Ranking for Network EmbeddingCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Community Detection with Graph Neural NetworksCode0
Deep Autoencoder-like Nonnegative Matrix Factorization for Community DetectionCode0
Recommendation system using a deep learning and graph analysis approachCode0
A Deep Latent Space Model for Graph Representation LearningCode0
Community detection with spiking neural networks for neuromorphic hardwareCode0
Robust Markov stability for community detection at a scale learned based on the structureCode0
CommunityGAN: Community Detection with Generative Adversarial NetsCode0
Covariate Regularized Community Detection in Sparse GraphsCode0
Deep Network Embedding for Graph Representation Learning in Signed NetworksCode0
Bayesian community detection for networks with covariatesCode0
Block-Structure Based Time-Series Models For Graph SequencesCode0
Constrained fractional set programs and their application in local clustering and community detectionCode0
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community DetectionCode0
Bayesian estimation of the latent dimension and communities in stochastic blockmodelsCode0
Sparse random hypergraphs: Non-backtracking spectra and community detectionCode0
Coupled Graphs and Tensor Factorization for Recommender Systems and Community DetectionCode0
Analysis of ResearchGate, A Community Detection ApproachCode0
Spectral goodness-of-fit tests for complete and partial network dataCode0
Statement networks: a power structure narrative as depicted by newspapersCode0
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truthsCode0
Embedding-based Silhouette Community DetectionCode0
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent EstimationCode0
Genetic Analysis of Prostate Cancer with Computer Science MethodsCode0
Show:102550
← PrevPage 5 of 19Next →
All datasetsAmazonCoraCiteseerDBLPFacebook ArtistsFacebook AthletesFacebook CelebritiesFacebook CompaniesFacebook GovernmentFacebook MediaFacebook PoliticiansFacebook TV Show

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