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 51–75 of 919 papers

TitleStatusHype
Transition Network Analysis: A Novel Framework for Modeling, Visualizing, and Identifying the Temporal Patterns of Learners and Learning Processes—0
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep LearningCode1
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
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community RetrievalCode2
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
Learning Communities from Equilibria of Nonlinear Opinion Dynamics—0
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning—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
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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