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 126–150 of 919 papers

TitleStatusHype
Big Networks: A Survey—0
A Random Matrix Perspective on Random Tensors—0
A Quorum Sensing Inspired Algorithm for Dynamic Clustering—0
A General Framework for Complex Network-Based Image Segmentation—0
Community detection and portfolio optimization—0
Community Detection and Stochastic Block Models—0
A pseudo-likelihood approach to community detection in weighted networks—0
Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey—0
A Fuzzy Community-Based Recommender System Using PageRank—0
A Framework for Multi-View Classification of Features—0
A Novel Community Detection Based Genetic Algorithm for Feature Selection—0
A Community Detection and Graph Neural Network Based Link Prediction Approach for Scientific Literature—0
Community Detection and Matrix Completion with Social and Item Similarity Graphs—0
Community Detection in Networks: A Rough Sets and Consensus Clustering Approach—0
A Framework for Exploring Federated Community Detection—0
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs—0
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality—0
A Noise-Resilient Semi-Supervised Graph Autoencoder for Overlapping Semantic Community Detection—0
A Flexible Fitness Function for Community Detection in Complex Networks—0
Community Detection and Growth Potential Prediction from Patent Citation Networks—0
Community detection and percolation of information in a geometric setting—0
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems—0
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings—0
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research—0
An Adaptive Deep Clustering Pipeline to Inform Text Labeling at Scale—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