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 551–600 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
Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes—0
Higher-Order Spectral Clustering under Superimposed Stochastic Block Model—0
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection—0
High Quality, Scalable and Parallel Community Detectionfor Large Real Graphs—0
How is a data-driven approach better than random choice in label space division for multi-label classification?—0
How Many Communities Are There?—0
How Robust are Reconstruction Thresholds for Community Detection?—0
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities—0
Hyperbolic Multiplex Network Embedding with Maps of Random Walk—0
Hypergraph clustering using Ricci curvature: an edge transport perspective—0
Hypothesis Testing for Automated Community Detection in Networks—0
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion—0
Identifying Linked Fraudulent Activities Using GraphConvolution Network—0
IEDC: An Integrated Approach for Overlapping and Non-overlapping Community Detection—0
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection—0
Improved Deep Embeddings for Inferencing with Multi-Layered Networks—0
Improved mutual information measure for classification and community detection—0
Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-type Usefulness Distribution—0
Improving Fine-Tuning with Latent Cluster Correction—0
Improving Smart Conference Participation through Socially-Aware Recommendation—0
Improving Twitter Community Detection through Contextual Sentiment Analysis—0
Incremental Community Detection in Distributed Dynamic Graph—0
Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications—0
Incremental Method for Spectral Clustering of Increasing Orders—0
Induced Modularity and Community Detection for Functionally Interpretable Reinforcement 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