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 551–575 of 919 papers

TitleStatusHype
GRADE: Graph Dynamic Embedding—0
Graph-Based Approaches to Clustering Network-Constrained Trajectory Data—0
Graph-based data clustering via multiscale community detection—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
Graph-Community Detection for Cross-Document Topic Segment Relationship Identification—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
Graph Generators: State of the Art and Open Challenges—0
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty—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
Graph Vertex Embeddings: Distance, Regularization and Community Detection—0
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning—0
GroupEnc: encoder with group loss for global structure preservation—0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs—0
Herding Unmasked: Insights into Cryptocurrencies, Stocks and US ETFs—0
Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar—0
Hierarchical Block Structures and High-resolution Model Selection in Large Networks—0
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors—0
Hierarchical community detection by recursive partitioning—0
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length—0
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure—0
Hierarchical Latent Semantic Mapping for Automated Topic Generation—0
Hierarchical organization of functional connectivity in the mouse brain: a complex network approach—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