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 251–275 of 919 papers

TitleStatusHype
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold—0
Hippocluster: an efficient, hippocampus-inspired algorithm for graph clusteringCode0
Perfect Spectral Clustering with Discrete CovariatesCode0
Deep Graph Clustering via Mutual Information Maximization and Mixture Model—0
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slidesCode1
Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization—0
Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary ProcessCode0
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
Reformulating Speaker Diarization as Community Detection With Emphasis On Topological Structure—0
Political Communities on Twitter: Case Study of the 2022 French Presidential Election—0
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph RepresentationsCode0
Correlation-based feature selection to identify functional dynamics in proteinsCode1
CGC: Contrastive Graph Clustering for Community Detection and TrackingCode0
Data-driven Influence Based Clustering of Dynamical Systems—0
A Survey on Machine Learning Solutions for Graph Pattern ExtractionCode0
Properties and Performance of the ABCDe Random Graph Model with Community StructureCode0
Machine-Learning Based Objective Function Selection for Community DetectionCode0
Spectral Algorithms Optimally Recover Planted Sub-structures—0
FaceMap: Towards Unsupervised Face Clustering via Map EquationCode1
Perturbation Analysis of Randomized SVD and its Applications to Statistics—0
Graph Neural Networks for Multiparallel Word Alignment—0
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks—0
Sparse random hypergraphs: Non-backtracking spectra and community detectionCode0
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection—0
Fast Community Detection based on Graph Autoencoder Reconstruction—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