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 576–600 of 919 papers

TitleStatusHype
Spectral Multi-scale Community Detection in Temporal Networks with an Application—0
Spectral partitioning of time-varying networks with unobserved edges—0
Spectral redemption: clustering sparse networks—0
Spoofing Attack Detection in the Physical Layer with Robustness to User Movement—0
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants—0
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem—0
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices—0
Statistical inference of assortative community structures—0
Statistical inference on random dot product graphs: a survey—0
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach—0
Stochastic Block Models with Multiple Continuous Attributes—0
Streaming Belief Propagation for Community Detection—0
Streaming, Memory Limited Algorithms for Community Detection—0
Strong Consistency, Graph Laplacians, and the Stochastic Block Model—0
Strongly Consistent Community Detection in Popularity Adjusted Block Models—0
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors—0
Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization—0
Structure and inference in annotated networks—0
Submatrix localization via message passing—0
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications—0
Systematic review of image segmentation using complex networks—0
Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications—0
TC-SfM: Robust Track-Community-Based Structure-from-Motion—0
Techniques for clustering interaction data as a collection of graphs—0
TeCoMiner: Topic Discovery Through Term 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