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 601–625 of 919 papers

TitleStatusHype
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks—0
Community Detection and Growth Potential Prediction from Patent Citation Networks—0
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language UnderstandingCode0
Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing—0
Community detection in the sparse hypergraph stochastic block model—0
Density-based Community Detection/OptimizationCode0
Bayesian estimation of the latent dimension and communities in stochastic blockmodelsCode0
Community detection over a heterogeneous population of non-aligned networksCode0
Hierarchical Stochastic Block Model for Community Detection in Multiplex NetworksCode0
Network reconstruction and community detection from dynamics—0
Ensemble Clustering for Graphs: Comparisons and ApplicationsCode0
Universality of Computational Lower Bounds for Submatrix Detection—0
Detecting Local Community Structures in Social Networks Using Concept Interestingness—0
Spectral Multi-scale Community Detection in Temporal Networks with an Application—0
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs—0
CommunityGAN: Community Detection with Generative Adversarial NetsCode0
EXIT Analysis for Community Detection—0
Semi-supervised learning in unbalanced and heterogeneous networks—0
Deep Network Embedding for Graph Representation Learning in Signed NetworksCode0
The algorithm of the impulse noise filtration in images based on an algorithm of community detection in graphs—0
A Fuzzy Community-Based Recommender System Using PageRank—0
Higher-Order Spectral Clustering under Superimposed Stochastic Block Model—0
Provable limitations of deep learning—0
Community structure: A comparative evaluation of community detection methods—0
Statement networks: a power structure narrative as depicted by newspapersCode0
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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