Co-occurring keywords · papers mentioning both
Papers
Transfer Learning for Latent Variable Network Models
NeurIPS 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
AISTATS 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks
NeurIPS 2024
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
NeurIPS 2023
Autoregressive Networks
JMLR 2023
Bayesian Spiked Laplacian Graphs
JMLR 2023
Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
ICLR 2023
Community models for networks observed through edge nominations
JMLR 2023
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
JMLR 2023
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
ICML 2023
Distributed Community Detection in Large Networks
JMLR 2023
Effects of Graph Convolutions in Multi-layer Networks
ICLR 2023
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
ICML 2023
Efficient preconditioned stochastic gradient descent for estimation in latent variable models
ICML 2023
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
NeurIPS 2023
Graph Attention Retrospective
JMLR 2023
Higher-Order Spectral Clustering Under Superimposed Stochastic Block Models
JMLR 2023
On the Power of SVD in the Stochastic Block Model
NeurIPS 2023
Private estimation algorithms for stochastic block models and mixture models
NeurIPS 2023
Projected Tensor Power Method for Hypergraph Community Recovery
ICML 2023
Randomized Spectral Co-Clustering for Large-Scale Directed Networks
JMLR 2023
Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions
COLT 2023
Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle
NeurIPS 2023
Scalable Spectral Clustering with Group Fairness Constraints
AISTATS 2023
Semi-supervised Community Detection via Structural Similarity Metrics
ICLR 2023