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
Gossip and Attend: Context-Sensitive Graph Representation LearningCode0
Session-based Suggestion of Topics for Geographic Exploratory Search—0
Non-backtracking walks reveal compartments in sparse chromatin interaction networks—0
A unified framework for spectral clustering in sparse graphsCode0
Overlapping Community Detection in Weighted Temporal Text Networks—0
Merge-split Markov chain Monte Carlo for community detection—0
Analysis of ResearchGate, A Community Detection ApproachCode0
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
Novel Edge and Density Metrics for Link Cohesion—0
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors—0
Parameterized Correlation Clustering in Hypergraphs and Bipartite GraphsCode0
Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case—0
LoCEC: Local Community-based Edge Classification in Large Online Social Networks—0
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition—0
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing—0
Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology—0
Simultaneous prediction and community detection for networks with application to neuroimagingCode0
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network EmbeddingCode1
Graph Neighborhood Attentive PoolingCode0
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
Adversarial Attack on Community Detection by Hiding IndividualsCode1
Graph Generators: State of the Art and Open Challenges—0
Fast Sequence-Based Embedding with Diffusion GraphsCode1
Randomized Spectral Clustering in Large-Scale Stochastic Block Models—0
Graph Ordering: Towards the Optimal by Learning—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