| Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization | Feb 13, 2021 | General ClassificationOut-of-Distribution Generalization | CodeCode Available | 0 |
| Community Detection: Exact Recovery in Weighted Graphs | Feb 8, 2021 | Community DetectionStochastic Block Model | —Unverified | 0 |
| Community Detection with a Subsampled Semidefinite Program | Feb 2, 2021 | ClusteringCommunity Detection | —Unverified | 0 |
| Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection | Jan 29, 2021 | Community DetectionStochastic Block Model | —Unverified | 0 |
| Community Detection in the Stochastic Block Model by Mixed Integer Programming | Jan 26, 2021 | Community DetectionStochastic Block Model | CodeCode Available | 0 |
| Disentangling homophily, community structure and triadic closure in networks | Jan 7, 2021 | Community DetectionGraph Reconstruction | —Unverified | 0 |
| VEM-GCN: Topology Optimization with Variational EM for Graph Convolutional Networks | Jan 1, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| Latent space models for multiplex networks with shared structure | Dec 28, 2020 | Stochastic Block Model | CodeCode Available | 0 |
| Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks | Dec 16, 2020 | ClusteringGraph Clustering | CodeCode Available | 1 |
| On the Power of Louvain in the Stochastic Block Model | Dec 1, 2020 | BIG-bench Machine LearningStochastic Block Model | —Unverified | 0 |
