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

Showing 201225 of 919 papers

TitleStatusHype
NISQ-ready community detection based on separation-node identification0
TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems0
DCC: A Cascade based Approach to Detect Communities in Social Networks0
The Ties that matter: From the perspective of Similarity Measure in Online Social Networks0
Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks0
Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes0
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders0
New Frontiers in Graph Autoencoders: Joint Community Detection and Link PredictionCode1
MGTCOM: Community Detection in Multimodal GraphsCode0
A Spectral Analysis of Graph Neural Networks on Dense and Sparse GraphsCode0
Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networks0
Hypergraph Artificial Benchmark for Community Detection (h-ABCD)Code0
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCNCode0
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection0
Detecting Propagators of Disinformation on Twitter Using Quantitative Discursive AnalysisCode0
Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial InteractionsCode1
Cognitive modelling with multilayer networks: Insights, advancements and future challenges0
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs0
Community Detection in Multi-frequency EEG Networks0
Towards Direct Comparison of Community Structures in Social Networks0
Exact Recovery of Community Detection in dependent Gaussian Mixture Models0
A cost-based multi-layer network approach for the discovery of patient phenotypes0
Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity0
An efficient approach for nonconvex semidefinite optimization via customized alternating direction method of multipliers0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GNNAccuracy-NE2Unverified
2CommunityGANF1-score0.09Unverified
3Ego-SplittingF1-score0.04Unverified
#ModelMetricClaimedVerifiedStatus
1EdMotNMI0.42Unverified
2CDNMFNMI0.4Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.48Unverified
#ModelMetricClaimedVerifiedStatus
1CommunityGANF1-Score0.15Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.69Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.65Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.68Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.71Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.86Unverified
#ModelMetricClaimedVerifiedStatus
1Smooth GEMSEC 2Modularity0.85Unverified
#ModelMetricClaimedVerifiedStatus
1CDNMFACC0.67Unverified