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 876–900 of 919 papers

TitleStatusHype
Locally Boosted Graph Aggregation for Community Detection—0
A Bi-clustering Framework for Consensus Problems—0
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes—0
Learning Latent Block Structure in Weighted Networks—0
A Graph-Based Analysis of Medical Queries of a Swedish Health Care Portal—0
High Quality, Scalable and Parallel Community Detectionfor Large Real Graphs—0
Efficiently inferring community structure in bipartite networksCode0
Predictive Overlapping Co-Clustering—0
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices—0
Generating Extractive Summaries of Scientific Paradigms—0
A high-reproducibility and high-accuracy method for automated topic classification—0
A Spectral Framework for Anomalous Subgraph Detection—0
Efficiently Detecting Overlapping Communities through Seeding and Semi-Supervised Learning—0
Community Detection in Networks using Graph Distance—0
A Boosting Approach to Learning Graph Representations—0
Phase Transitions in Community Detection: A Solvable Toy Model—0
Hypothesis Testing for Automated Community Detection in Networks—0
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data—0
Hierarchical Block Structures and High-resolution Model Selection in Large Networks—0
Partition-Merge: Distributed Inference and Modularity Optimization—0
Efficient discovery of overlapping communities in massive networksCode0
Online Tensor Methods for Learning Latent Variable ModelsCode0
Ensemble approaches for improving community detection methods—0
Axioms for graph clustering quality functions—0
Community Detection in Sparse Random 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