conftrace_

stochastic block model

146 papers

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Also known as

SBM

Co-occurring keywords

community detection (276) graph clustering (195) spectral clustering (305) network analysis (194) spectral method (204) graph theory (249) network clustering (20) random graph (47) exact recovery (27) spectral algorithm (51)

Papers

From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025
Community Detection Guarantees using Embeddings Learned by Node2Vec NIPS 2024
Harnessing Multiple Correlated Networks for Exact Community Recovery NIPS 2024
Transfer Learning for Latent Variable Network Models NIPS 2024
Analysis of Corrected Graph Convolutions NIPS 2024
Thresholds for Reconstruction of Random Hypergraphs From Graph Projections COLT 2024
Efficient Graph Matching for Correlated Stochastic Block Models NIPS 2024
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models NIPS 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024
Individual-centered Partial Information in Social Networks JMLR 2024
A tensor factorization model of multilayer network interdependence JMLR 2024
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method AISTATS 2024
Gap-Free Clustering: Sensitivity and Robustness of SDP COLT 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NIPS 2024
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks NIPS 2023
Scalable Spectral Clustering with Group Fairness Constraints AISTATS 2023
Bayesian Spiked Laplacian Graphs JMLR 2023
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees ICML 2023
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation ICML 2023
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model NIPS 2023
Graph Attention Retrospective JMLR 2023
Higher-Order Spectral Clustering Under Superimposed Stochastic Block Models JMLR 2023
Autoregressive Networks JMLR 2023
Efficient preconditioned stochastic gradient descent for estimation in latent variable models ICML 2023
Structure of Nonlinear Node Embeddings in Stochastic Block Models AISTATS 2023