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Stochastic Block Model

Papers

Showing 1–25 of 370 papers

TitleStatusHype
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and CostCode1
A network approach to topic modelsCode1
Adaptive Universal Generalized PageRank Graph Neural NetworkCode1
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node DistinguishabilityCode1
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed LaplacianCode1
Community Detection in Bipartite Networks with Stochastic BlockmodelsCode1
Examining the Effects of Degree Distribution and Homophily in Graph Learning ModelsCode1
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural NetworksCode1
SSSNET: Semi-Supervised Signed Network ClusteringCode1
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural NetworksCode1
Synergistic Graph Fusion via Encoder EmbeddingCode1
On the Universality of Graph Neural Networks on Large Random GraphsCode1
One-Hot Graph Encoder EmbeddingCode1
Graph Attention RetrospectiveCode1
A Dirichlet stochastic block model for composition-weighted networks—0
Adapting the Stochastic Block Model to Edge-Weighted Networks—0
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation—0
Active learning in the geometric block model—0
Active Learning for Community Detection in Stochastic Block Models—0
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly—0
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming—0
Analysis of Corrected Graph Convolutions—0
Analysis of spectral clustering algorithms for community detection: the general bipartite setting—0
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering—0
Active Community Detection with Maximal Expected Model Change—0
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