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Stochastic Block Model

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Showing 51–100 of 370 papers

TitleStatusHype
Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block ModelsCode0
Community Detection in High-Dimensional Graph Ensembles—0
Auto-encoding GPS data to reveal individual and collective behaviour—0
Optimal Clustering of Discrete Mixtures: Binomial, Poisson, Block Models, and Multi-layer Networks—0
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model—0
Reinforcement Learning for SBM Graphon Games with Re-Sampling—0
Restricted Tweedie Stochastic Block Models—0
Global Minima, Recoverability Thresholds, and Higher-Order Structure in GNNS—0
Non-backtracking Graph Neural NetworksCode0
An Investigation of Representation and Allocation Harms in Contrastive LearningCode0
On the Power of SVD in the Stochastic Block Model—0
DYMAG: Rethinking Message Passing Using Dynamical-systems-based WaveformsCode0
A stochastic block model for community detection in attributed networks—0
Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials—0
Gap-Free Clustering: Sensitivity and Robustness of SDP—0
Optimal Noise Reduction in Dense Mixed-Membership Stochastic Block Models under Diverging Spiked Eigenvalues Condition—0
Consistent model selection in the spiked Wigner model via AIC-type criteria—0
Nested stochastic block model for simultaneously clustering networks and nodes—0
Examining the Effects of Degree Distribution and Homophily in Graph Learning ModelsCode1
A Neural Collapse Perspective on Feature Evolution in Graph Neural NetworksCode0
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks—0
Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model—0
Structured Cooperative Learning with Graphical Model PriorsCode0
Information-Theoretic Limits and Strong Consistency on Binary Non-uniform Hypergraph Stochastic Block Models—0
Optimal Inference in Contextual Stochastic Block Models—0
Semi-supervised Community Detection via Structural Similarity Metrics—0
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?—0
Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions—0
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node DistinguishabilityCode1
Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model—0
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks—0
Synergistic Graph Fusion via Encoder EmbeddingCode1
Signal processing on large networks with group symmetries—0
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering—0
Neural-prior stochastic block model—0
A pseudo-likelihood approach to community detection in weighted networks—0
rMultiNet: An R Package For Multilayer Networks AnalysisCode0
Differentially-Private Hierarchical Clustering with Provable Approximation GuaranteesCode0
Multilayer hypergraph clustering using the aggregate similarity matrix—0
Concentration in Gossip Opinion Dynamics over Random Graphs—0
Community Detection with Known, Unknown, or Partially Known Auxiliary Latent Variables—0
Homophily modulates double descent generalization in graph convolution networksCode0
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks—0
Learning Coherent Clusters in Weakly-Connected Network Systems—0
DiSC: Differential Spectral Clustering of FeaturesCode0
Scalable Spectral Clustering with Group Fairness ConstraintsCode0
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and CostCode1
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent KernelCode0
On Classification Thresholds for Graph Attention with Edge Features—0
Serialized Interacting Mixed Membership Stochastic Block ModelCode0
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