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 51–75 of 919 papers

TitleStatusHype
Fast Sequence-Based Embedding with Diffusion GraphsCode1
Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community StructureCode1
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding.Code1
Streaming Graph Neural NetworksCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
A network approach to topic modelsCode1
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large GraphsCode1
Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs—0
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 Models—0
Optimal community detection in dense bipartite graphs—0
Pre-trained Prompt-driven Semi-supervised Local Community Detection—0
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive CohesionCode0
NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition—0
Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi TrajectoriesCode0
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models—0
A Noise-Resilient Semi-Supervised Graph Autoencoder for Overlapping Semantic Community Detection—0
Community and hyperedge inference in multiple hypergraphsCode0
Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy—0
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics—0
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 Networks—0
A Local Perspective-based Model for Overlapping Community Detection—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