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 151–175 of 919 papers

TitleStatusHype
Optimizing parameter search for community detection in time evolving networks of complex systems—0
Curvature-based Clustering on Graphs—0
A Neural Collapse Perspective on Feature Evolution in Graph Neural NetworksCode0
Random Walk on Multiple NetworksCode1
Normalized mutual information is a biased measure for classification and community detectionCode0
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks—0
Community Detection Graph Convolutional Network for Overlap-Aware Speaker Diarization—0
Boosting Multitask Learning on Graphs through Higher-Order Task AffinitiesCode1
Fast Maximum k-Plex Algorithms Parameterized by Small Degeneracy GapsCode0
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems—0
Optimal Inference in Contextual Stochastic Block Models—0
Modularity based linkage model for neuroevolution—0
Semi-supervised Community Detection via Structural Similarity Metrics—0
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?—0
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer GraphsCode0
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Gene communities in co-expression networks across different tissues—0
A network community detection method with integration of data from multiple layers and node attributes—0
Bounded Projection Matrix Approximation with Applications to Community Detection—0
Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions—0
Fair Information Spread on Social Networks with Community Structure—0
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack—0
Semantic Random Walk for Graph Representation Learning in Attributed Graphs—0
Matrix tri-factorization over the tropical semiringCode0
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for 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