| Heterogeneous Graph Neural Network with Multi-view Representation Learning | Aug 31, 2021 | Graph EmbeddingGraph Neural Network | —Unverified | 0 |
| Adaptive Label Smoothing To Regularize Large-Scale Graph Training | Aug 30, 2021 | Node Clustering | —Unverified | 0 |
| ROD: Reception-aware Online Distillation for Sparse Graphs | Jul 25, 2021 | ClusteringGraph Learning | CodeCode Available | 0 |
| Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering | Jul 19, 2021 | ClusteringGraph Clustering | CodeCode Available | 1 |
| A Survey on Role-Oriented Network Embedding | Jul 18, 2021 | ClusteringGraph Mining | CodeCode Available | 1 |
| Asymptotics of Network Embeddings Learned via Subsampling | Jul 6, 2021 | Link PredictionNode Classification | CodeCode Available | 0 |
| On Generalization of Graph Autoencoders with Adversarial Training | Jul 6, 2021 | Anomaly DetectionClustering | CodeCode Available | 0 |
| CoANE: Modeling Context Co-occurrence for Attributed Network Embedding | Jun 17, 2021 | AttributeClustering | —Unverified | 0 |
| Automated Self-Supervised Learning for Graphs | Jun 10, 2021 | ClusteringNode Classification | CodeCode Available | 1 |
| DIGRAC: Digraph Clustering Based on Flow Imbalance | Jun 9, 2021 | ClusteringGraph Clustering | CodeCode Available | 0 |
