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

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Showing 1–50 of 919 papers

TitleStatusHype
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsCode4
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community RetrievalCode2
Modular Boundaries in Recurrent Neural NetworksCode2
Hypergraph Isomorphism ComputationCode2
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Dataset Augmented by ChatGPTCode2
Speaker Diarization with Overlapping Community Detection Using Graph Attention Networks and Label Propagation AlgorithmCode1
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch MiningCode1
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep LearningCode1
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning PerspectiveCode1
Explainable Global Wildfire Prediction Models using Graph Neural NetworksCode1
Hypergraph Contrastive Learning for Drug Trafficking Community DetectionCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Random Walk on Multiple NetworksCode1
Boosting Multitask Learning on Graphs through Higher-Order Task AffinitiesCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community DetectionCode1
New Frontiers in Graph Autoencoders: Joint Community Detection and Link PredictionCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial InteractionsCode1
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slidesCode1
Self-Supervised Learning of Object Parts for Semantic SegmentationCode1
Correlation-based feature selection to identify functional dynamics in proteinsCode1
FaceMap: Towards Unsupervised Face Clustering via Map EquationCode1
Modularity of the ABCD Random Graph Model with Community StructureCode1
Graph Coloring with Physics-Inspired Graph Neural NetworksCode1
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link PredictionCode1
VGAER: Graph Neural Network Reconstruction based Community DetectionCode1
Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community DetectionCode1
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network ModelCode1
Evaluating Node Embeddings of Complex NetworksCode1
Generative hypergraph clustering: from blockmodels to modularityCode1
Community detection using fast low-cardinality semidefinite programmingCode1
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural NetworkCode1
Amortized Probabilistic Detection of Communities in GraphsCode1
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix FactorizationCode1
Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homologyCode1
Hierarchical Message-Passing Graph Neural NetworksCode1
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approachCode1
Extended Stochastic Block Models with Application to Criminal NetworksCode1
IncNSA: Detecting communities incrementally from time-evolving networks based on node similarityCode1
Clustering with Tangles: Algorithmic Framework and Theoretical GuaranteesCode1
Interferometric Graph Transform: a Deep Unsupervised Graph RepresentationCode1
p-Norm Flow Diffusion for Local Graph ClusteringCode1
Deep Learning for Community Detection: Progress, Challenges and OpportunitiesCode1
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and PerformanceCode1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network EmbeddingCode1
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
Adversarial Attack on Community Detection by Hiding IndividualsCode1
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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