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 1–25 of 919 papers

TitleStatusHype
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsCode4
Modular Boundaries in Recurrent Neural NetworksCode2
Hypergraph Isomorphism ComputationCode2
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community RetrievalCode2
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Dataset Augmented by ChatGPTCode2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
Fast Sequence-Based Embedding with Diffusion GraphsCode1
Evaluating Node Embeddings of Complex NetworksCode1
Extended Stochastic Block Models with Application to Criminal NetworksCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network ModelCode1
Explainable Global Wildfire Prediction Models using Graph Neural NetworksCode1
FaceMap: Towards Unsupervised Face Clustering via Map EquationCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homologyCode1
Correlation-based feature selection to identify functional dynamics in proteinsCode1
Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community StructureCode1
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch MiningCode1
Boosting Multitask Learning on Graphs through Higher-Order Task AffinitiesCode1
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
Community detection using fast low-cardinality semidefinite programmingCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
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