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 501–550 of 919 papers

TitleStatusHype
Gossip and Attend: Context-Sensitive Graph Representation LearningCode0
Session-based Suggestion of Topics for Geographic Exploratory Search—0
Non-backtracking walks reveal compartments in sparse chromatin interaction networks—0
A unified framework for spectral clustering in sparse graphsCode0
Overlapping Community Detection in Weighted Temporal Text Networks—0
Merge-split Markov chain Monte Carlo for community detectionCode0
Analysis of ResearchGate, A Community Detection ApproachCode0
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
Novel Edge and Density Metrics for Link Cohesion—0
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors—0
Parameterized Correlation Clustering in Hypergraphs and Bipartite GraphsCode0
Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case—0
LoCEC: Local Community-based Edge Classification in Large Online Social Networks—0
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition—0
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing—0
Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology—0
Simultaneous prediction and community detection for networks with application to neuroimagingCode0
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network EmbeddingCode1
Graph Neighborhood Attentive PoolingCode0
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
Adversarial Attack on Community Detection by Hiding IndividualsCode1
Graph Generators: State of the Art and Open Challenges—0
Fast Sequence-Based Embedding with Diffusion GraphsCode1
Randomized Spectral Clustering in Large-Scale Stochastic Block Models—0
Graph Ordering: Towards the Optimal by Learning—0
ShapeVis: High-dimensional Data Visualization at Scale—0
Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community StructureCode1
Visual Machine Learning: Insight through Eigenvectors, Chladni patterns and community detection in 2D particulate structures—0
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding.Code1
On hyperparameter tuning in general clustering problemsm—0
p-Norm Flow Diffusion for Local Graph ClusteringCode0
A Non-negative Symmetric Encoder-Decoder Approach for Community DetectionCode0
Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach—0
Community detection in node-attributed social networks: a survey—0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Optimized Tracking of Topic Evolution—0
Mutual Information in Community Detection with Covariate Information and Correlated Networks—0
Network-Based Delineation of Health Service Areas: A Comparative Analysis of Community Detection Algorithms—0
Community Detection and Matrix Completion with Social and Item Similarity Graphs—0
Exposing Fake Images with Forensic Similarity Graphs—0
Optimal Laplacian regularization for sparse spectral community detection—0
Unsupervised Co-Learning on G-Manifolds Across Irreducible RepresentationsCode0
REM: From Structural Entropy to Community Structure DeceptionCode0
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly—0
Hyperbolic Multiplex Network Embedding with Maps of Random Walk—0
Early Detection of Research Trends—0
Active learning in the geometric block model—0
Single Image Reflection Removal through Cascaded RefinementCode0
Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates—0
Community Detection for Power Systems Network Aggregation Considering Renewable Variability—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