Co-occurring keywords · papers mentioning both
Papers
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
NeurIPS 2020
Community-Based Group Graphical Lasso
JMLR 2020
Community-Centric Graph Convolutional Network for Unsupervised Community Detection
IJCAI 2020
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
NeurIPS 2020
Community detection using fast low-cardinality semidefinite programming
NeurIPS 2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities
IJCAI 2020
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
AACL 2020
Enumerating Maximal k-Plexes with Worst-Case Time Guarantee
AAAI 2020
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
AAAI 2020
Generating Ethnographic Models from Communities’ Online Data
ACL 2020
Investigating Annotator Bias with a Graph-Based Approach
EMNLP 2020
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
EMNLP 2020
Mixed-Membership Stochastic Block Models for Weighted Networks
UAI 2020
Multi-Scale Anomaly Detection on Attributed Networks
AAAI 2020
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection
AAAI 2020
On hyperparameter tuning in general clustering problemsm
ICML 2020
On the Power of Louvain in the Stochastic Block Model
NeurIPS 2020
Optimal Bipartite Network Clustering
JMLR 2020
Provable Overlapping Community Detection in Weighted Graphs
NeurIPS 2020
Robustness of Community Detection to Random Geometric Perturbations
NeurIPS 2020
Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection
ACML 2020
Social Network Analysis using RLVECN: Representation Learning via Knowledge-Graph Embeddings and Convolutional Neural-Network
IJCAI 2020
Spectral Algorithms for Community Detection in Directed Networks
JMLR 2020
Spectral Clustering with Graph Neural Networks for Graph Pooling
ICML 2020
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
NeurIPS 2020