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
A Spectral Analysis of Graph Neural Networks on Dense and Sparse GraphsCode0
Guided Machine Learning for power grid segmentationCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
A Distributed Hybrid Community Detection Methodology for Social NetworksCode0
Hierarchical Bayesian inference for community detection and connectivity of functional brain networksCode0
CGC: Contrastive Graph Clustering for Community Detection and TrackingCode0
Hierarchical community structure in networksCode0
Agglomerative Likelihood ClusteringCode0
Coupled Graphs and Tensor Factorization for Recommender Systems and Community DetectionCode0
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent EstimationCode0
Hypergraph Artificial Benchmark for Community Detection (h-ABCD)Code0
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral FiltersCode0
Constrained fractional set programs and their application in local clustering and community detectionCode0
Identifying Hubs Through Influential Nodes in Transportation Network by Using a Gravity Centrality ApproachCode0
Community detection in graphsCode0
CommunityGAN: Community Detection with Generative Adversarial NetsCode0
Investigating Annotator Bias with a Graph-Based ApproachCode0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
Joint Community Detection and Rotational Synchronization via Semidefinite ProgrammingCode0
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
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network ApproachCode0
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community DetectionCode0
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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