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

Showing 176200 of 919 papers

TitleStatusHype
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
Hide and Seek: Outwitting Community Detection AlgorithmsCode0
Hierarchical Bayesian inference for community detection and connectivity of functional brain networksCode0
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent EstimationCode0
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral FiltersCode0
Artificial Benchmark for Community Detection with Outliers (ABCD+o)Code0
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node EmbeddingsCode0
Constrained fractional set programs and their application in local clustering and community detectionCode0
CommunityGAN: Community Detection with Generative Adversarial NetsCode0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
Structure and inference in hypergraphs with node attributesCode0
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community DetectionCode0
Reliable Time Prediction in the Markov Stochastic Block ModelCode0
Covariate Regularized Community Detection in Sparse GraphsCode0
Community detection in graphsCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Learning dynamic representations of the functional connectome in neurobiological networksCode0
Density-based Community Detection/OptimizationCode0
Learning Persistent Community Structures in Dynamic Networks via Topological Data AnalysisCode0
A Spectral Method for Joint Community Detection and Orthogonal Group SynchronizationCode0
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph RepresentationsCode0
Assortative-Constrained Stochastic Block ModelsCode0
Community detection in networks: A user guideCode0
Community detection using diffusion informationCode0
A Deep Latent Space Model for Graph Representation LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GNNAccuracy-NE2Unverified
2CommunityGANF1-score0.09Unverified
3Ego-SplittingF1-score0.04Unverified
#ModelMetricClaimedVerifiedStatus
1EdMotNMI0.42Unverified
2CDNMFNMI0.4Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.48Unverified
#ModelMetricClaimedVerifiedStatus
1CommunityGANF1-Score0.15Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.69Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.65Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.68Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.71Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.86Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.85Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.67Unverified