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 125 of 919 papers

TitleStatusHype
Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs0
Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning ApproachCode0
Identifying Hubs Through Influential Nodes in Transportation Network by Using a Gravity Centrality ApproachCode0
Strongly Consistent Community Detection in Popularity Adjusted Block Models0
Speaker Diarization with Overlapping Community Detection Using Graph Attention Networks and Label Propagation AlgorithmCode1
Optimal community detection in dense bipartite graphs0
Pre-trained Prompt-driven Semi-supervised Local Community Detection0
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch MiningCode1
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive CohesionCode0
NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition0
Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi TrajectoriesCode0
A Noise-Resilient Semi-Supervised Graph Autoencoder for Overlapping Semantic Community Detection0
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models0
Community and hyperedge inference in multiple hypergraphsCode0
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy0
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics0
Adaptive Long-term Embedding with Denoising and Augmentation for RecommendationCode0
Robust Markov stability for community detection at a scale learned based on the structureCode0
Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks0
A Local Perspective-based Model for Overlapping Community Detection0
Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas0
Communities in the Kuramoto Model: Dynamics and Detection via Path SignaturesCode0
Unifying Structural Proximity and Equivalence for Enhanced Dynamic Network Embedding0
Revisiting FastMap: New Applications0
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node EmbeddingsCode0
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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