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

Showing 176200 of 919 papers

TitleStatusHype
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory ClusteringCode0
Generalized Category Discovery with Clustering Assignment Consistency0
Community Detection Guarantees Using Embeddings Learned by Node2Vec0
Explaining Interactions Between Text SpansCode0
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection0
Spoofing Attack Detection in the Physical Layer with Robustness to User Movement0
Restricted Tweedie Stochastic Block Models0
Evading Community Detection via Counterfactual Neighborhood Search0
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural NetworksCode0
Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras0
Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions0
A Comprehensive Review of Community Detection in Graphs0
Using network metrics to explore the community structure that underlies movement patterns0
GroupEnc: encoder with group loss for global structure preservation0
Consistency of Lloyd's Algorithm Under Perturbations0
A stochastic block model for community detection in attributed networks0
Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials0
Superpixels algorithms through network community detectionCode0
LSCPM: communities in massive real-world Link Streams by Clique Percolation MethodCode0
Optimal Noise Reduction in Dense Mixed-Membership Stochastic Block Models under Diverging Spiked Eigenvalues Condition0
Optimizing parameter search for community detection in time evolving networks of complex systems0
Curvature-based Clustering on Graphs0
A Neural Collapse Perspective on Feature Evolution in Graph Neural NetworksCode0
Normalized mutual information is a biased measure for classification and community detectionCode0
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GNNAccuracy-NE2Unverified
2CommunityGANF1-score0.09Unverified
3Ego-SplittingF1-score0.04Unverified
#ModelMetricClaimedVerifiedStatus
1EdMotNMI0.42Unverified
2CDNMFNMI0.4Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.48Unverified
#ModelMetricClaimedVerifiedStatus
1CommunityGANF1-Score0.15Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.69Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.65Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.68Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.71Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.86Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.85Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.67Unverified