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 651–675 of 919 papers

TitleStatusHype
Using the Omega Index for Evaluating Abstractive Community Detection—0
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes—0
VECoDeR - Variational Embeddings for Community Detection and Node Representation—0
Village-Net Clustering: A Rapid approach to Non-linear Unsupervised Clustering of High-Dimensional Data—0
Visual Machine Learning: Insight through Eigenvectors, Chladni patterns and community detection in 2D particulate structures—0
Weighted Community Detection and Data Clustering Using Message Passing—0
Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information—0
Weighted Spectral Cluster Ensemble—0
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?—0
Why the Rich Get Richer? On the Balancedness of Random Partition Models—0
Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction—0
Word sense induction using word embeddings and community detection in complex networks—0
Would I regret later joining this Community ? Using temporal neighborhood information for community retention in a game theoretic community detection framework—0
Zombie Account Detection Based on Community Detection and Uneven Assignation PageRank—0
Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia—0
Zoo Guide to Network Embedding—0
Community Detection and Growth Potential Prediction from Patent Citation Networks—0
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks—0
A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation—0
Heterogeneous-Temporal Graph Convolutional Networks: Make the Community Detection Much Better—0
20 years of network community detection—0
A Bi-clustering Framework for Consensus Problems—0
A Boosting Approach to Learning Graph Representations—0
Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike?—0
Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation—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