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 676–700 of 919 papers

TitleStatusHype
NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition—0
Near-Optimal Correlation Clustering with Privacy—0
Neighbor Similarity Based Agglomerative Method for Community Detection in Networks—0
Network analysis of a complex disease: the gut microbiota in the inflammatory bowel disease case—0
Network-based community detection of comorbidities and their association with SARS-CoV-2 virus during COVID-19 pathogenesis—0
Network-Based Delineation of Health Service Areas: A Comparative Analysis of Community Detection Algorithms—0
Network-based diversification of stock and cryptocurrency portfolios—0
Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case—0
Network-community analysis of cellular senescence—0
Network Detection Theory and Performance—0
Network Filtering for Big Data: Triangulated Maximally Filtered Graph—0
Network reconstruction and community detection from dynamics—0
Network strategies to study Epstein-Barr virus associated carcinomas and potential etiological mechanisms for oncogenesis—0
Network structure, metadata and the prediction of missing nodes and annotations—0
Network Visualisations for Exploring Political Concepts—0
Neural-prior stochastic block model—0
Neural Stochastic Block Model & Scalable Community-Based Graph Learning—0
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics—0
Next Waves in Veridical Network Embedding—0
NISQ-ready community detection based on separation-node identification—0
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks—0
Nonbacktracking Bounds on the Influence in Independent Cascade Models—0
Non-Backtracking Spectrum of Degree-Corrected Stochastic Block Models—0
Non-backtracking walks reveal compartments in sparse chromatin interaction networks—0
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method—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