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 101–125 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
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
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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