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
Ego-splitting Framework: from Non-Overlapping to Overlapping ClustersCode0
Connected Subgraph Detection with Mirror Descent on SDPs—0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
Query Complexity of Clustering with Side Information—0
Mapping higher-order network flows in memory and multilayer networks with Infomap—0
Leveraging Node Attributes for Incomplete Relational DataCode0
Diversified Top-k Partial MaxSAT Solving—0
Nonbacktracking Bounds on the Influence in Independent Cascade Models—0
Provable Estimation of the Number of Blocks in Block Models—0
Supervised Community Detection with Line Graph Neural NetworksCode0
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral FiltersCode0
Data clustering with edge domination in complex networks—0
Exploration of Large Networks with Covariates via Fast and Universal Latent Space Model Fitting—0
A Network Perspective on Stratification of Multi-Label Data—0
Beyond the network of plants volatile organic compounds—0
Spectral and matrix factorization methods for consistent community detection in multi-layer networks—0
Multi-scale detection of hierarchical community architecture in structural and functional brain networks—0
Community Detection and Stochastic Block Models—0
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality—0
Matched bipartite block model with covariates—0
Multimodal Clustering for Community Detection—0
Hidden Community Detection in Social NetworksCode0
Distributed Representation of Subgraphs—0
Distributed Representations of Signed Networks—0
On Consistency of Compressive Spectral Clustering—0
Show:102550
← PrevPage 30 of 37Next →
All datasetsAmazonCoraCiteseerDBLPFacebook ArtistsFacebook AthletesFacebook CelebritiesFacebook CompaniesFacebook GovernmentFacebook MediaFacebook PoliticiansFacebook TV Show

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