| SCR: Training Graph Neural Networks with Consistency Regularization | Dec 8, 2021 | Node ClassificationNode Property Prediction | CodeCode Available | 1 |
| Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction | Oct 29, 2021 | Extreme Multi-Label ClassificationLanguage Modelling | CodeCode Available | 0 |
| Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation | Oct 17, 2021 | Knowledge DistillationNode Classification | CodeCode Available | 1 |
| Why Propagate Alone? Parallel Use of Labels and Features on Graphs | Oct 14, 2021 | Node Property PredictionProperty Prediction | CodeCode Available | 1 |
| Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages | Jun 16, 2021 | Node ClassificationNode Property Prediction | CodeCode Available | 1 |
| Training Graph Neural Networks with 1000 Layers | Jun 14, 2021 | GPUGraph Sampling | CodeCode Available | 2 |
| How Attentive are Graph Attention Networks? | May 30, 2021 | Graph AttentionGraph Classification | CodeCode Available | 1 |
| Heterogeneous Graph Representation Learning with Relation Awareness | May 24, 2021 | Graph LearningGraph Neural Network | CodeCode Available | 1 |
| Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks | May 18, 2021 | Node ClassificationNode Property Prediction | CodeCode Available | 1 |
| Multipath Graph Convolutional Neural Networks | May 4, 2021 | Node Property PredictionProperty Prediction | CodeCode Available | 0 |
