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 251–300 of 919 papers

TitleStatusHype
Embedding-based Silhouette Community DetectionCode0
Deep Network Embedding for Graph Representation Learning in Signed NetworksCode0
Fault Detection Engine in Intelligent Predictive Analytics Platform for DCIMCode0
Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary ProcessCode0
Ensemble Clustering for Graphs: Comparisons and ApplicationsCode0
Efficient discovery of overlapping communities in massive networksCode0
Effective Hierarchical Information Threading Using Network Community DetectionCode0
Efficiently inferring community structure in bipartite networksCode0
Ego-splitting Framework: from Non-Overlapping to Overlapping ClustersCode0
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language UnderstandingCode0
Estimation of Low-Rank Matrices via Approximate Message PassingCode0
Coupled Graphs and Tensor Factorization for Recommender Systems and Community DetectionCode0
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer GraphsCode0
Properties and Performance of the ABCDe Random Graph Model with Community StructureCode0
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity—0
Content-driven, unsupervised clustering of news articles through multiscale graph partitioning—0
Big Networks: A Survey—0
ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reporting—0
BigGraphVis: Leveraging Streaming Algorithms and GPU Acceleration for Visualizing Big Graphs—0
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection—0
Community detection for weighted bipartite networks—0
Exact Recovery of Community Structures Using DeepWalk and Node2vec—0
Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and Inference—0
Analysis of spectral clustering algorithms for community detection: the general bipartite setting—0
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack—0
Consistency of Lloyd's Algorithm Under Perturbations—0
Connectivity in Random Annulus Graphs and the Geometric Block Model—0
Beyond the network of plants volatile organic compounds—0
Connected Subgraph Detection with Mirror Descent on SDPs—0
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks—0
Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials—0
Computational Lower Bounds for Community Detection on Random Graphs—0
Complex networks based word embeddings—0
Comparative Analysis of Community Detection Algorithms on the SNAP Social Circles Dataset—0
Bayesian estimation from few samples: community detection and related problems—0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—0
Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation—0
Community structure: A comparative evaluation of community detection methods—0
Community Recovery in the Geometric Block Model—0
Community models for networks observed through edge nominations—0
Evading Community Detection via Counterfactual Neighborhood Search—0
Top-K Influential Nodes in Social Networks: A Game Perspective—0
An adaptive hybrid algorithm for social networks to choose groups with independent members—0
Community detection with the Bethe-Hessian—0
Axioms for graph clustering quality functions—0
Community Detection with Node Attributes and its Generalization—0
A web-based tool to Analyze Semantic Similarity Networks—0
A multilevel clustering technique for community detection—0
Active learning in the geometric block model—0
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables—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