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 401–425 of 919 papers

TitleStatusHype
GRADE: Graph Dynamic Embedding—0
Community Detection in Networks using Graph Distance—0
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data—0
Graph-based data clustering via multiscale community detection—0
Community detection in networks via nonlinear modularity eigenvectors—0
Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System—0
GraphBreak: Tool for Network Community based Regulatory Medicine, Gene co-expression, Linkage Disequilibrium analysis, functional annotation and more—0
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian—0
Community Detection in Networks with Node Features—0
Graph-Community Detection for Cross-Document Topic Segment Relationship Identification—0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs—0
Data-driven Clustering in Ad-hoc Networks based on Community Detection—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
Graph Generators: State of the Art and Open Challenges—0
Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods—0
A Survey on Signed Graph Embedding: Methods and Applications—0
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty—0
Community detection in sparse latent space models—0
Community Detection in Sparse Random Networks—0
Graph Neural Networks for Multiparallel Word Alignment—0
Graph Neural Networks for Multiparallel Word Alignment—0
Graph Ordering: Towards the Optimal by Learning—0
Data clustering with edge domination in complex networks—0
Graph Vertex Embeddings: Distance, Regularization and Community Detection—0
Bounded Projection Matrix Approximation with Applications to Community Detection—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