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 526–550 of 919 papers

TitleStatusHype
Resampled Mutual Information for Clustering and Community Detection—0
Research Topic Flows in Co-Authorship Networks—0
Graph-Based Recommendation System Enhanced with Community Detection—0
Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates—0
Restricted Tweedie Stochastic Block Models—0
Revealing consensus and dissensus between network partitions—0
Revealing Cortical Layers In Histological Brain Images With Self-Supervised Graph Convolutional Networks Applied To Cell-Graphs—0
Revisiting FastMap: New Applications—0
Revisiting Spectral Graph Clustering with Generative Community Models—0
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes—0
Robustness of Community Detection to Random Geometric Perturbations—0
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization—0
Table Integration in Data Lakes Unleashed: Pairwise Integrability Judgment, Integrable Set Discovery, and Multi-Tuple Conflict Resolution—0
Sampling Community Structure—0
Scalable Spectral Algorithms for Community Detection in Directed Networks—0
Improvements on SCORE, Especially for Weak Signals—0
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection—0
Searching for a Single Community in a Graph—0
Secure Friend Discovery via Privacy-Preserving and Decentralized Community Detection—0
Segmentation of large images based on super-pixels and community detection in graphs—0
Self-similarity of Communities of the ABCD Model—0
Semantic Random Walk for Graph Representation Learning in Attributed Graphs—0
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold—0
Semi-supervised Community Detection via Structural Similarity Metrics—0
Semi-supervised evidential label propagation algorithm for graph data—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