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 276–300 of 919 papers

TitleStatusHype
Perspectives and constraints on neural network models of neurobiological processesCode0
OK Boomer: Probing the socio-demographic Divide in Echo Chambers—0
Dynamic Community Detection via Adversarial Temporal Graph Representation Learning—0
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process—0
Community Recovery in the Geometric Block Model—0
Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version)—0
Research Topic Flows in Co-Authorship Networks—0
Multi-Frequency Joint Community Detection and Phase SynchronizationCode0
TC-SfM: Robust Track-Community-Based Structure-from-Motion—0
An Unsupervised Approach to Discover Media FramesCode0
Network-based community detection of comorbidities and their association with SARS-CoV-2 virus during COVID-19 pathogenesis—0
Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation—0
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
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
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
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
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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