Co-occurring keywords · papers mentioning both
Papers
Learning Network Embedding with Community Structural Information
IJCAI 2019
Matched Bipartite Block Model with Covariates
JMLR 2019
Optimal Sampling and Clustering in the Stochastic Block Model
NeurIPS 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
NeurIPS 2019
Position-aware Graph Neural Networks
ICML 2019
REM: From Structural Entropy to Community Structure Deception
NeurIPS 2019
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs
NeurIPS 2019
Robustness of Spectral Methods for Community Detection
COLT 2019
Scaling Fine-grained Modularity Clustering for Massive Graphs
IJCAI 2019
Supervised Community Detection with Line Graph Neural Networks
ICLR 2019
Tkol, Httt, and r/radiohead: High Affinity Terms in Reddit Communities
EMNLP 2019
Unsupervised Multi-view Learning
IJCAI 2019
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
NeurIPS 2019
Author Profiling for Abuse Detection
COLING 2018
Bipartite Stochastic Block Models with Tiny Clusters
NeurIPS 2018
Community Detection and Stochastic Block Models: Recent Developments
JMLR 2018
Community Detection in Hypergraphs: Optimal Statistical Limit and Efficient Algorithms
AISTATS 2018
Community Member Retrieval on Social Media Using Textual Information
NAACL 2018
Contextual Stochastic Block Models
NeurIPS 2018
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks
EMNLP 2018
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics
IJCAI 2018
Improved spectral community detection in large heterogeneous networks
JMLR 2018
Information-theoretic Limits for Community Detection in Network Models
NeurIPS 2018
It’s going to be okay: Measuring Access to Support in Online Communities
EMNLP 2018
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
NeurIPS 2018