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 401–425 of 919 papers

TitleStatusHype
GRADE: Graph Dynamic Embedding—0
Community detection by spectral methods in multi-layer networks—0
A Random Matrix Perspective on Random Tensors—0
Graph-based data clustering via multiscale community detection—0
Exploring Sentence Community for Document-Level Event Extraction—0
Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System—0
Exploration of Large Networks with Covariates via Fast and Universal Latent Space Model Fitting—0
Community Detection by Principal Components Clustering Methods—0
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models—0
Graph-Community Detection for Cross-Document Topic Segment Relationship Identification—0
Explicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous Annotation—0
Community Detection by ELPMeans: An Unsupervised Approach That Uses Laplacian Centrality and Clustering—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
Graph Generators: State of the Art and Open Challenges—0
A Quorum Sensing Inspired Algorithm for Dynamic Clustering—0
A General Framework for Complex Network-Based Image Segmentation—0
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty—0
A Comprehensive Review of Community Detection in Graphs—0
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems—0
Graph Neural Networks for Multiparallel Word Alignment—0
EXIT Analysis for Community Detection—0
Graph Ordering: Towards the Optimal by Learning—0
Exact Recovery of Community Detection in k-Community Gaussian Mixture Model—0
Graph Vertex Embeddings: Distance, Regularization and Community Detection—0
Community Detection and Stochastic Block Models—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