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Stochastic Block Model

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Showing 1–50 of 370 papers

TitleStatusHype
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural NetworksCode1
Examining the Effects of Degree Distribution and Homophily in Graph Learning ModelsCode1
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node DistinguishabilityCode1
Synergistic Graph Fusion via Encoder EmbeddingCode1
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and CostCode1
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed LaplacianCode1
Graph Attention RetrospectiveCode1
SSSNET: Semi-Supervised Signed Network ClusteringCode1
One-Hot Graph Encoder EmbeddingCode1
On the Universality of Graph Neural Networks on Large Random GraphsCode1
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural NetworksCode1
Adaptive Universal Generalized PageRank Graph Neural NetworkCode1
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
A network approach to topic modelsCode1
Effective Stimulus Propagation in Neural Circuits: Driver Node Selection—0
Spectral clustering for dependent community Hawkes process models of temporal networks—0
Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs—0
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph CoarseningCode0
Community and hyperedge inference in multiple hypergraphsCode0
Consensus on Open Multi-Agent Systems Over Graphs Sampled from Graphons—0
Communities in the Kuramoto Model: Dynamics and Detection via Path SignaturesCode0
Multi-Agent Q-Learning Dynamics in Random Networks: Convergence due to Exploration and Sparsity—0
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model—0
Low degree conjecture implies sharp computational thresholds in stochastic block model—0
Algorithmic contiguity from low-degree conjecture and applications in correlated random graphs—0
Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models—0
Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms—0
Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery—0
Low coordinate degree algorithms II: Categorical signals and generalized stochastic block models—0
Matrix Concentration for Random Signed Graphs and Community Recovery in the Signed Stochastic Block Model—0
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks—0
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models—0
Multiplex Dirichlet stochastic block model for clustering multidimensional compositional networks—0
Community Detection with Heterogeneous Block Covariance Model—0
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs—0
Community detection with the Bethe-Hessian—0
Convergence Guarantees for the DeepWalk Embedding on Block Models—0
A Semidefinite Relaxation Approach for Fair Graph ClusteringCode0
Learning Communities from Equilibria of Nonlinear Opinion Dynamics—0
A computational transition for detecting correlated stochastic block models by low-degree polynomials—0
A Dirichlet stochastic block model for composition-weighted networks—0
Sharp Bounds for Poly-GNNs and the Effect of Graph Noise—0
Estimating the number of clusters of a Block Markov Chain—0
Bayesian modelling of VAR precision matrices using stochastic block networks—0
Modularity aided consistent attributed graph clustering via coarsening—0
Introducing the modularity graph: an application to brain functional networks—0
Exact Community Recovery under Side Information: Optimality of Spectral Algorithms—0
Optimal Bailouts in Diversified Financial Networks—0
Network two-sample test for block models—0
Unified Fourier bases for signals on random graphs with group symmetries—0
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