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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–525 of 919 papers

TitleStatusHype
Prioritizing network communities—0
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks—0
Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks—0
Provable Estimation of the Number of Blocks in Block Models—0
Provable limitations of deep learning—0
Provable Overlapping Community Detection in Weighted Graphs—0
Providing an Approach to Predicting Customer Quality in E-Commerce Social Networks Based on Big Data and Unsupervised Learning Method—0
Pseudo-likelihood methods for community detection in large sparse networks—0
PubGraph: A Large-Scale Scientific Knowledge Graph—0
Quantifying the Controllability of Coarsely Characterized Networked Dynamical Systems—0
Query Complexity of Clustering with Side Information—0
Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters—0
Scalable and Robust Community Detection with Randomized Sketching—0
Randomized Spectral Clustering in Large-Scale Stochastic Block Models—0
Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method—0
Rates of Convergence of Spectral Methods for Graphon Estimation—0
Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions—0
Reconstruction on Trees and Low-Degree Polynomials—0
Recovering a Hidden Community Beyond the Kesten-Stigum Threshold in O(|E| ^*|V|) Time—0
Recovering Structured Probability Matrices—0
Recovering Unbalanced Communities in the Stochastic Block Model With Application to Clustering with a Faulty Oracle—0
Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks—0
Reformulating Speaker Diarization as Community Detection With Emphasis On Topological Structure—0
Regularized Projection Matrix Approximation with Applications to Community Detection—0
Representation learning of dynamic networks—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