| 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 |
| Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training | Apr 19, 2021 | Node Property Prediction | CodeCode Available | 1 |
| Bag of Tricks for Node Classification with Graph Neural Networks | Mar 24, 2021 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Learning multi-resolution representations of research patterns in bibliographic networks | Feb 1, 2021 | Graph EmbeddingGraph Representation Learning | CodeCode Available | 0 |
| Adaptive Graph Diffusion Networks | Dec 30, 2020 | GPULink Prediction | CodeCode Available | 1 |
| Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning | Dec 29, 2020 | Graph LearningNode Property Prediction | CodeCode Available | 0 |
| 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 |
| DeeperGCN: All You Need to Train Deeper GCNs | Jun 13, 2020 | AllGraph Learning | CodeCode Available | 0 |
| Open Graph Benchmark: Datasets for Machine Learning on Graphs | May 2, 2020 | Knowledge GraphsNode Property Prediction | CodeCode Available | 2 |
| 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 |
| Representation Learning on Graphs with Jumping Knowledge Networks | Jun 9, 2018 | Graph AttentionNode Classification | CodeCode Available | 0 |
| Graph Attention Networks | Oct 30, 2017 | Document ClassificationGraph Attention | CodeCode Available | 1 |
| metapath2vec: Scalable Representation Learning for Heterogeneous Networks | Aug 1, 2017 | ClusteringLink Prediction | CodeCode Available | 0 |
