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 276–300 of 919 papers

TitleStatusHype
Bayesian community detection for networks with covariatesCode0
Modularity of the ABCD Random Graph Model with Community StructureCode1
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks—0
Near-Optimal Correlation Clustering with Privacy—0
Recovering Unbalanced Communities in the Stochastic Block Model With Application to Clustering with a Faulty Oracle—0
Listing Maximal k-Plexes in Large Real-World GraphsCode0
Geometric Graph Representation Learning via Maximizing Rate Reduction—0
Graph Coloring with Physics-Inspired Graph Neural NetworksCode1
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link PredictionCode1
An Adaptive Deep Clustering Pipeline to Inform Text Labeling at Scale—0
A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts—0
Machine learning to assess relatedness: the advantage of using firm-level data—0
Differentially Private Community Detection for Stochastic Block Models—0
Why the Rich Get Richer? On the Balancedness of Random Partition Models—0
The effect of the pandemic on complex socio-economic systems: community detection induced by communicability—0
Detecting Communities in Complex Networks using an Adaptive Genetic Algorithm and node similarity-based encoding—0
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community LabelingCode0
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models—0
Investigating internal migration with network analysis and latent space representations: An application to Turkey—0
Graph-Based Recommendation System Enhanced with Community Detection—0
VGAER: Graph Neural Network Reconstruction based Community DetectionCode1
Network Collaborator: Knowledge Transfer Between Network Reconstruction and Community DetectionCode0
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method—0
Community detection and portfolio optimization—0
A Spectral Method for Joint Community Detection and Orthogonal Group SynchronizationCode0
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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