Co-occurring keywords · papers mentioning both
Papers
On the Estimation of Network Complexity: Dimension of Graphons
JMLR 2021
On the Universality of Graph Neural Networks on Large Random Graphs
NeurIPS 2021
Optimality of variational inference for stochasticblock model with missing links
NeurIPS 2021
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
ICML 2021
Regularized spectral methods for clustering signed networks
JMLR 2021
Sparse Popularity Adjusted Stochastic Block Model
JMLR 2021
Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs
COLT 2021
Stochastic block model entropy and broadcasting on trees with survey
COLT 2021
Streaming Belief Propagation for Community Detection
NeurIPS 2021
Strong Consistency, Graph Laplacians, and the Stochastic Block Model
JMLR 2021
Towards a Query-Optimal and Time-Efficient Algorithm for Clustering with a Faulty Oracle
COLT 2021
When random initializations help: a study of variational inference for community detection
JMLR 2021
Active Community Detection with Maximal Expected Model Change
AISTATS 2020
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model
ICML 2020
A Theoretical Case Study of Structured Variational Inference for Community Detection
AISTATS 2020
Change Point Estimation in a Dynamic Stochastic Block Model
JMLR 2020
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
NeurIPS 2020
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
ICML 2020
Graph Coarsening with Preserved Spectral Properties
AISTATS 2020
Hermitian matrices for clustering directed graphs: insights and applications
AISTATS 2020
Mixed-Membership Stochastic Block Models for Weighted Networks
UAI 2020
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures
ICML 2020
On the Power of Louvain in the Stochastic Block Model
NeurIPS 2020
Optimal Bipartite Network Clustering
JMLR 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
COLT 2020