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

Showing 51100 of 919 papers

TitleStatusHype
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
IncNSA: Detecting communities incrementally from time-evolving networks based on node similarityCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Extended Stochastic Block Models with Application to Criminal NetworksCode1
Hypergraph Contrastive Learning for Drug Trafficking Community DetectionCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community StructureCode1
Analysis of spectral clustering algorithms for community detection: the general bipartite setting0
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack0
Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach0
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection0
Heterogeneous-Temporal Graph Convolutional Networks: Make the Community Detection Much Better0
Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia0
An adaptive hybrid algorithm for social networks to choose groups with independent members0
A multilevel clustering technique for community detection0
Active learning in the geometric block model0
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection0
A Local Perspective-based Model for Overlapping Community Detection0
Active Learning for Community Detection in Stochastic Block Models0
Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike?0
Beyond the network of plants volatile organic compounds0
Active Community Detection with Maximal Expected Model Change0
Almost Exact Recovery in Gossip Opinion Dynamics over Stochastic Block Models0
A Boosting Approach to Learning Graph Representations0
A likelihood-ratio type test for stochastic block models with bounded degrees0
Algorithms for item categorization based on ordinal ranking data0
A cost-based multi-layer network approach for the discovery of patient phenotypes0
Bayesian estimation from few samples: community detection and related problems0
Algorithmic infeasibility of community detection in higher-order networks0
A high-reproducibility and high-accuracy method for automated topic classification0
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection0
A web-based tool to Analyze Semantic Similarity Networks0
A Bi-clustering Framework for Consensus Problems0
Axioms for graph clustering quality functions0
Top-K Influential Nodes in Social Networks: A Game Perspective0
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks0
Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and Inference0
A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts0
A Graph-Based Analysis of Medical Queries of a Swedish Health Care Portal0
A semidefinite program for unbalanced multisection in the stochastic block model0
A Semidefinite Program for Structured Blockmodels0
A Comprehensive Survey on Community Detection with Deep Learning0
A Spectral Framework for Anomalous Subgraph Detection0
A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection0
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models0
A Compressive Sensing Approach to Community Detection with Applications0
A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation0
A stochastic block model for community detection in attributed networks0
A Unified Framework for Tuning Hyperparameters in Clustering Problems0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GNNAccuracy-NE2Unverified
2CommunityGANF1-score0.09Unverified
3Ego-SplittingF1-score0.04Unverified
#ModelMetricClaimedVerifiedStatus
1EdMotNMI0.42Unverified
2CDNMFNMI0.4Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.48Unverified
#ModelMetricClaimedVerifiedStatus
1CommunityGANF1-Score0.15Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.69Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.65Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.68Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.71Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.86Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.85Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.67Unverified