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 776–800 of 919 papers

TitleStatusHype
Clustering via Content-Augmented Stochastic Blockmodels—0
Coactivated Clique Based Multisource Overlapping Brain Subnetwork Extraction—0
Cognitive modelling with multilayer networks: Insights, advancements and future challenges—0
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection—0
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly—0
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training—0
Community-Aware Graph Signal Processing—0
Community-Based Data Integration of Course and Job Data in Support of Personalized Career-Education Recommendations—0
Community Detection Algorithm Combining Stochastic Block Model and Attribute Data Clustering—0
Community Detection Guarantees Using Embeddings Learned by Node2Vec—0
Community Detection and Classification in Hierarchical Stochastic Blockmodels—0
Community Detection and Improved Detectability in Multiplex Networks—0
Community Detection and Matrix Completion with Social and Item Similarity Graphs—0
Community detection and percolation of information in a geometric setting—0
Community detection and portfolio optimization—0
Community detection and Social Network analysis based on the Italian wars of the 15th century—0
Community Detection and Stochastic Block Models—0
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems—0
Community Detection by ELPMeans: An Unsupervised Approach That Uses Laplacian Centrality and Clustering—0
Community Detection by Principal Components Clustering Methods—0
Community detection by spectral methods in multi-layer networks—0
Community Detection: Exact Recovery in Weighted Graphs—0
Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms—0
Community Detection for Heterogeneous Multiple Social Networks—0
Community Detection for Power Systems Network Aggregation Considering Renewable Variability—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