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 301–350 of 919 papers

TitleStatusHype
Community Detection with Heterogeneous Block Covariance Model—0
A Web-based Interactive Visual Graph Analytics Platform—0
Community Detection with a Subsampled Semidefinite Program—0
Automatic Segmentation of Fluorescence Lifetime Microscopy Images of Cells Using Multi-Resolution Community Detection—0
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection—0
Community Detection via Measure Space Embedding—0
Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models—0
A useful criterion on studying consistent estimation in community detection—0
Community Detection Using Revised Medoid-Shift Based on KNN—0
Community detection using low-dimensional network embedding algorithms—0
A Unified Framework for Tuning Hyperparameters in Clustering Problems—0
A Local Perspective-based Model for Overlapping Community Detection—0
Active Learning for Community Detection in Stochastic Block Models—0
Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike?—0
Heterogeneous-Temporal Graph Convolutional Networks: Make the Community Detection Much Better—0
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition—0
Community Detection on Evolving Graphs—0
Community detection in weighted brain connectivity networks beyond the resolution limit—0
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy—0
Almost Exact Recovery in Gossip Opinion Dynamics over Stochastic Block Models—0
Active Community Detection with Maximal Expected Model Change—0
Community detection in the sparse hypergraph stochastic block model—0
A testing based extraction algorithm for identifying significant communities in networks—0
Community Detection in the Multi-View Stochastic Block Model—0
Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix—0
A Tensor Approach to Learning Mixed Membership Community Models—0
A likelihood-ratio type test for stochastic block models with bounded degrees—0
Community Detection in Sparse Random Networks—0
A Survey on Theoretical Advances of Community Detection in Networks—0
Community detection in sparse latent space models—0
Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods—0
A Survey on Signed Graph Embedding: Methods and Applications—0
Algorithms for item categorization based on ordinal ranking data—0
A cost-based multi-layer network approach for the discovery of patient phenotypes—0
A Boosting Approach to Learning Graph Representations—0
Community Detection in Partially Observable Social Networks—0
Community detection in node-attributed social networks: a survey—0
Community Detection in Networks with Node Features—0
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning—0
Algorithmic infeasibility of community detection in higher-order networks—0
Community detection in networks via nonlinear modularity eigenvectors—0
Community detection in networks using graph embeddings—0
Community Detection in Networks using Graph Distance—0
Community detection in networks: Structural communities versus ground truth—0
A stochastic block model for community detection in attributed networks—0
A high-reproducibility and high-accuracy method for automated topic classification—0
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection—0
Community detection in network neuroscience—0
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel—0
Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization—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