| Scalable Graph Neural Networks for Heterogeneous Graphs | Nov 19, 2020 | Heterogeneous Node ClassificationNode Property Prediction | CodeCode Available | 1 |
| Combining Label Propagation and Simple Models Out-performs Graph Neural Networks | Oct 27, 2020 | Node ClassificationNode Classification on Non-Homophilic (Heterophilic) Graphs | CodeCode Available | 1 |
| Robust Optimization as Data Augmentation for Large-scale Graphs | Oct 19, 2020 | Data AugmentationGraph Classification | CodeCode Available | 1 |
| Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification | Sep 8, 2020 | General ClassificationGraph Neural Network | CodeCode Available | 1 |
| Towards Deeper Graph Neural Networks | Jul 18, 2020 | AttributeGraph Neural Network | CodeCode Available | 1 |
| Simple and Deep Graph Convolutional Networks | Jul 4, 2020 | Graph ClassificationGraph Regression | CodeCode Available | 1 |
| SIGN: Scalable Inception Graph Neural Networks | Apr 23, 2020 | Graph Representation LearningGraph Sampling | CodeCode Available | 1 |
| Heterogeneous Graph Transformer | Mar 3, 2020 | Graph SamplingHeterogeneous Node Classification | CodeCode Available | 1 |
| GraphSAINT: Graph Sampling Based Inductive Learning Method | Jul 10, 2019 | Graph AttentionGraph Embedding | CodeCode Available | 1 |
| Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks | May 20, 2019 | ClusteringComputational Efficiency | CodeCode Available | 1 |
