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 251–275 of 919 papers

TitleStatusHype
BigGraphVis: Leveraging Streaming Algorithms and GPU Acceleration for Visualizing Big Graphs—0
ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reporting—0
Content-driven, unsupervised clustering of news articles through multiscale graph partitioning—0
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity—0
Clustering and Community Detection with Imbalanced Clusters—0
A new measure of modularity density for community detection—0
Clustering and Community Detection in Directed Networks: A Survey—0
A new correlation clustering method for cancer mutation analysis—0
Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks—0
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks—0
A Network Perspective on Stratification of Multi-Label Data—0
Differentially Private Community Detection for Stochastic Block Models—0
Characterizing functional brain networks and emotional centers based on Rasa theory of Indian aesthetics—0
Achieving Optimal Misclassification Proportion in Stochastic Block Model—0
Differentially private exact recovery for stochastic block models—0
Discriminative community detection for multiplex networks—0
Distribution-Free Model for Community Detection—0
A network community detection method with integration of data from multiple layers and node attributes—0
Chaining Data - A Novel Paradigm in Artificial Intelligence Exemplified with NMF based Clustering—0
Detecting local processing unit in drosophila brain by using network theory—0
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing—0
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions—0
Detecting Overlapping Communities in Networks Using Spectral Methods—0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
An Enhanced Multi-Objective Biogeography-Based Optimization for Overlapping Community Detection in Social Networks with Node Attributes—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