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 801–850 of 919 papers

TitleStatusHype
Active Learning for Community Detection in Stochastic Block Models—0
Evaluating the effect of topic consideration in identifying communities of rating-based social networks—0
Weighted Spectral Cluster Ensemble—0
Community Detection with Node Attributes and its Generalization—0
Network structure, metadata and the prediction of missing nodes and annotations—0
Performance of a community detection algorithm based on semidefinite programming—0
On the Simultaneous Preservation of Privacy and Community Structure in Anonymized Networks—0
Inference via Message Passing on Partially Labeled Stochastic Block Models—0
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space—0
Recovering Structured Probability Matrices—0
Partial Recovery Bounds for the Sparse Stochastic Block Model—0
Hierarchical organization of functional connectivity in the mouse brain: a complex network approach—0
A new correlation clustering method for cancer mutation analysis—0
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means—0
Real-Time Community Detection in Large Social Networks on a LaptopCode0
Detecting local processing unit in drosophila brain by using network theory—0
Dynamic Range in the C.elegans Brain Network—0
Convexified Modularity Maximization for Degree-corrected Stochastic Block Models—0
Incremental Method for Spectral Clustering of Increasing Orders—0
Topic segmentation via community detection in complex networks—0
Community Detection via Measure Space Embedding—0
An Empirical Comparison of the Summarization Power of Graph Clustering Methods—0
Hierarchical Latent Semantic Mapping for Automated Topic Generation—0
Learning Communities in the Presence of Errors—0
Statistical physics of inference: Thresholds and algorithmsCode0
How Robust are Reconstruction Thresholds for Community Detection?—0
Submatrix localization via message passing—0
Optimal Cluster Recovery in the Labeled Stochastic Block Model—0
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks—0
Recovering a Hidden Community Beyond the Kesten-Stigum Threshold in O(|E| ^*|V|) Time—0
Detecting Community Structures in Hi-C Genomic Data—0
Integration of graph clustering with ant colony optimization for feature selection—0
Community Detection in Networks with Node Features—0
Time Series Clustering via Community Detection in NetworksCode0
Local Algorithms for Block Models with Side Information—0
A semidefinite program for unbalanced multisection in the stochastic block model—0
Structure and inference in annotated networks—0
Community detection in multiplex networks using locally adaptive random walks—0
Estimating the number of communities in networks by spectral methods—0
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models—0
Joint community and anomaly tracking in dynamic networks—0
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel—0
Clustering via Content-Augmented Stochastic Blockmodels—0
Achieving Optimal Misclassification Proportion in Stochastic Block Model—0
Network Filtering for Big Data: Triangulated Maximally Filtered Graph—0
Overlapping Community Detection by Online Cluster Aggregation—0
Overlapping Communities Detection via Measure Space Embedding—0
Phase Transitions in Spectral Community Detection of Large Noisy Networks—0
Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods—0
Community Detection and Classification in Hierarchical Stochastic Blockmodels—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