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 751775 of 919 papers

TitleStatusHype
Constrained fractional set programs and their application in local clustering and community detectionCode0
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community DetectionCode0
vGraph: A Generative Model for Joint Community Detection and Node Representation LearningCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Modularity Based Community Detection in HypergraphsCode0
Community Detection in Weighted Multilayer Networks with Ambient NoiseCode0
Hierarchical Stochastic Block Model for Community Detection in Multiplex NetworksCode0
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clusteringCode0
Modularity maximisation for graphonsCode0
A Spectral Framework for Tracking Communities in Evolving NetworksCode0
Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCNCode0
Community Detection in the Stochastic Block Model by Mixed Integer ProgrammingCode0
Coupled Graphs and Tensor Factorization for Recommender Systems and Community DetectionCode0
Covariate Regularized Community Detection in Sparse GraphsCode0
Hippocluster: an efficient, hippocampus-inspired algorithm for graph clusteringCode0
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix FactorizationCode0
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node EmbeddingsCode0
Multi-Frequency Joint Community Detection and Phase SynchronizationCode0
Overlapping Community Detection with Graph Neural NetworksCode0
Simultaneous prediction and community detection for networks with application to neuroimagingCode0
Deep Autoencoder-like Nonnegative Matrix Factorization for Community DetectionCode0
Single-cell Multi-view Clustering via Community Detection with Unknown Number of ClustersCode0
Hypergraph Artificial Benchmark for Community Detection (h-ABCD)Code0
Community detection in sparse time-evolving graphs with a dynamical Bethe-HessianCode0
Deep Network Embedding for Graph Representation Learning in Signed NetworksCode0
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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