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 401–450 of 919 papers

TitleStatusHype
GRADE: Graph Dynamic Embedding—0
Community Detection in Networks using Graph Distance—0
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data—0
Graph-based data clustering via multiscale community detection—0
Community detection in networks via nonlinear modularity eigenvectors—0
Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System—0
GraphBreak: Tool for Network Community based Regulatory Medicine, Gene co-expression, Linkage Disequilibrium analysis, functional annotation and more—0
Data-driven Influence Based Clustering of Dynamical Systems—0
Community Detection in Networks with Node Features—0
Graph-Community Detection for Cross-Document Topic Segment Relationship Identification—0
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian—0
How Robust are Reconstruction Thresholds for Community Detection?—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
Graph Generators: State of the Art and Open Challenges—0
Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods—0
A Survey on Signed Graph Embedding: Methods and Applications—0
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty—0
Community detection in sparse latent space models—0
Community Detection in Sparse Random Networks—0
Graph Neural Networks for Multiparallel Word Alignment—0
Graph Neural Networks for Multiparallel Word Alignment—0
Graph Ordering: Towards the Optimal by Learning—0
Data-driven Clustering in Ad-hoc Networks based on Community Detection—0
Graph Vertex Embeddings: Distance, Regularization and Community Detection—0
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning—0
GroupEnc: encoder with group loss for global structure preservation—0
Data clustering with edge domination in complex networks—0
Community detection in the sparse hypergraph stochastic block model—0
Bounded Projection Matrix Approximation with Applications to Community Detection—0
Herding Unmasked: Insights into Cryptocurrencies, Stocks and US ETFs—0
Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar—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
Mapping higher-order network flows in memory and multilayer networks with Infomap—0
Curvature-based Clustering on Graphs—0
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors—0
Hierarchical community detection by recursive partitioning—0
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition—0
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length—0
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure—0
An efficient approach for nonconvex semidefinite optimization via customized alternating direction method of multipliers—0
How Many Communities Are There?—0
Hierarchical organization of functional connectivity in the mouse brain: a complex network approach—0
A Boosting Approach to Learning Graph Representations—0
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities—0
Higher-Order Spectral Clustering under Superimposed Stochastic Block Model—0
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection—0
Community detection using low-dimensional network embedding algorithms—0
Community Detection Using Revised Medoid-Shift Based on KNN—0
An Effective Index for Truss-based Community Search on Large Directed Graphs—0
Show:102550
← PrevPage 9 of 19Next →
All datasetsAmazonCoraCiteseerDBLPFacebook ArtistsFacebook AthletesFacebook CelebritiesFacebook CompaniesFacebook GovernmentFacebook MediaFacebook PoliticiansFacebook TV Show

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