Co-occurring keywords · papers mentioning both
Papers
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
NeurIPS 2024
Community models for networks observed through edge nominations
JMLR 2023
Distributed Community Detection in Large Networks
JMLR 2023
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
NeurIPS 2023
Sampling random graph homomorphisms and applications to network data analysis
JMLR 2023
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
ICML 2022
Hybrid-order Stochastic Block Model
AAAI 2021
Regularized spectral methods for clustering signed networks
JMLR 2021
Community-Centric Graph Convolutional Network for Unsupervised Community Detection
IJCAI 2020
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
AAAI 2020
Optimal Bipartite Network Clustering
JMLR 2020
Higher-Order Multi-Layer Community Detection
AAAI 2019
Improved Parallel Algorithms for Density-Based Network Clustering
ICML 2019
Optimal Sampling and Clustering in the Stochastic Block Model
NeurIPS 2019
Tensor Decomposition for Multilayer Networks Clustering
AAAI 2019
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic
IJCAI 2017
On clustering network-valued data
NeurIPS 2017
Prediction and Clustering in Signed Networks: A Local to Global Perspective
JMLR 2014
Streaming, Memory Limited Algorithms for Community Detection
NeurIPS 2014
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
NeurIPS 2013
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
NeurIPS 2011