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

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Showing 101–150 of 919 papers

TitleStatusHype
A Spectral Framework for Tracking Communities in Evolving NetworksCode0
Multi-Scale Node Embeddings for Graph Modeling and Generation—0
Community Detection with Heterogeneous Block Covariance Model—0
Table Integration in Data Lakes Unleashed: Pairwise Integrability Judgment, Integrable Set Discovery, and Multi-Tuple Conflict Resolution—0
Transition Network Analysis: A Novel Framework for Modeling, Visualizing, and Identifying the Temporal Patterns of Learners and Learning Processes—0
Resampled Mutual Information for Clustering and Community Detection—0
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure—0
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering—0
Community detection with the Bethe-Hessian—0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
Sentiment-Driven Community Detection in a Network of Perfume PreferencesCode0
SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning—0
Discriminative community detection for multiplex networks—0
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length—0
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings—0
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning—0
Learning Communities from Equilibria of Nonlinear Opinion Dynamics—0
A Survey on Signed Graph Embedding: Methods and Applications—0
Masking The Bias : From Echo Chambers to Large Scale Aspect-Based Sentiment AnalysisCode0
Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike?—0
Longitudinal Modularity, a Modularity for Link StreamsCode0
Network-based diversification of stock and cryptocurrency portfolios—0
Enhancing Community Detection in Networks: A Comparative Analysis of Local Metrics and Hierarchical Algorithms—0
Herding Unmasked: Insights into Cryptocurrencies, Stocks and US ETFs—0
Enhancing Scalability of Optimal Kron-based Reduction of Networks (Opti-KRON) via Decomposition with Community Detection—0
Modularity Based Community Detection in HypergraphsCode0
Testing network clustering algorithms with Natural Language ProcessingCode0
Introducing the modularity graph: an application to brain functional networks—0
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications—0
Network-community analysis of cellular senescence—0
Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization SystemCode0
Community Detection in Networks: A Rough Sets and Consensus Clustering Approach—0
Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and Inference—0
Differentially private exact recovery for stochastic block models—0
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media—0
Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models—0
Regularized Projection Matrix Approximation with Applications to Community Detection—0
Simultaneous Identification of Sparse Structures and Communities in Heterogeneous Graphical Models—0
LGDE: Local Graph-based Dictionary ExpansionCode0
Community Detection for Heterogeneous Multiple Social Networks—0
Robustness of graph embedding methods for community detectionCode0
Graph Vertex Embeddings: Distance, Regularization and Community Detection—0
Estimating mixed memberships in multi-layer networks—0
Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System—0
Bioregionalization analyses with the bioregion R-package—0
Community detection by spectral methods in multi-layer networks—0
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks—0
VEC-SBM: Optimal Community Detection with Vectorial Edges CovariatesCode0
Learning dynamic representations of the functional connectome in neurobiological networksCode0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—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