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 726–750 of 919 papers

TitleStatusHype
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings—0
A Noise-Resilient Semi-Supervised Graph Autoencoder for Overlapping Semantic Community Detection—0
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality—0
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection—0
Community Detection in Networks: A Rough Sets and Consensus Clustering Approach—0
A Novel Community Detection Based Genetic Algorithm for Feature Selection—0
Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey—0
A pseudo-likelihood approach to community detection in weighted networks—0
A Quorum Sensing Inspired Algorithm for Dynamic Clustering—0
A Random Matrix Perspective on Random Tensors—0
A Semidefinite Program for Structured Blockmodels—0
A semidefinite program for unbalanced multisection in the stochastic block model—0
A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts—0
A Spectral Framework for Anomalous Subgraph Detection—0
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models—0
A stochastic block model for community detection in attributed networks—0
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning—0
A Survey on Signed Graph Embedding: Methods and Applications—0
A Survey on Theoretical Advances of Community Detection in Networks—0
A Tensor Approach to Learning Mixed Membership Community Models—0
A testing based extraction algorithm for identifying significant communities in networks—0
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy—0
A Unified Framework for Tuning Hyperparameters in Clustering Problems—0
A useful criterion on studying consistent estimation in community detection—0
Automatic Segmentation of Fluorescence Lifetime Microscopy Images of Cells Using Multi-Resolution Community Detection—0
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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