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 451–475 of 919 papers

TitleStatusHype
Investigating Annotator Bias with a Graph-Based ApproachCode0
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions—0
Fast Network Community Detection with Profile-Pseudo Likelihood MethodsCode0
On Graph Neural Networks versus Graph-Augmented MLPsCode0
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs—0
Linear-Sample Learning of Low-Rank Distributions—0
Sketch-based community detection in evolving networks—0
Overlapping community detection in networks via sparse spectral decompositionCode0
Hierarchical community structure in networksCode0
On the use of local structural properties for improving the efficiency of hierarchical community detection methods—0
Community detection in networks using graph embeddings—0
Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning—0
Efficient Personalized Community Detection via Genetic Evolution—0
Online Estimation and Community Detection of Network Point Processes for Event StreamsCode0
Exact Recovery of Community Detection in k-Community Gaussian Mixture Model—0
Community-Aware Graph Signal Processing—0
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection—0
Improving Smart Conference Participation through Socially-Aware Recommendation—0
Spectral Algorithms for Community Detection in Directed Networks—0
Community models for networks observed through edge nominations—0
Big Networks: A Survey—0
A Novel Community Detection Based Genetic Algorithm for Feature Selection—0
Community detection in sparse latent space models—0
Almost exact recovery in noisy semi-supervised learningCode0
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph DescriptionCode0
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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