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 451–475 of 919 papers

TitleStatusHype
On hyperparameter tuning in general clustering problemsm—0
On labeling Android malware signatures using minhashing and further classification with Structural Equation Models—0
Spectral CUSUM for Online Network Structure Change Detection—0
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference—0
On the Minimax Misclassification Ratio of Hypergraph Community Detection—0
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models—0
On the Simultaneous Preservation of Privacy and Community Structure in Anonymized Networks—0
On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization—0
On the use of local structural properties for improving the efficiency of hierarchical community detection methods—0
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks—0
Optimal Bipartite Network Clustering—0
Optimal Clustering of Discrete Mixtures: Binomial, Poisson, Block Models, and Multi-layer Networks—0
Optimal Cluster Recovery in the Labeled Stochastic Block Model—0
Optimal community detection in dense bipartite graphs—0
Optimal Noise Reduction in Dense Mixed-Membership Stochastic Block Models under Diverging Spiked Eigenvalues Condition—0
Optimal Inference in Contextual Stochastic Block Models—0
Optimal Laplacian regularization for sparse spectral community detection—0
Optimisation dans la détection de communautés recouvrantes et équilibre de Nash—0
Optimization via Low-rank Approximation for Community Detection in Networks—0
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs—0
Optimized Tracking of Topic Evolution—0
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection—0
Optimizing parameter search for community detection in time evolving networks of complex systems—0
Orthogonal symmetric non-negative matrix factorization under the stochastic block model—0
Overcoming Bias in Community Detection Evaluation—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