| SCR: Training Graph Neural Networks with Consistency Regularization | Dec 8, 2021 | Node ClassificationNode Property Prediction | CodeCode Available | 1 | 5 |
| Inductive Representation Learning on Large Graphs | Jun 7, 2017 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Label-Enhanced Graph Neural Network for Semi-supervised Node Classification | May 31, 2022 | Graph Neural NetworkNode Classification | CodeCode Available | 1 | 5 |
| Long-range Meta-path Search on Large-scale Heterogeneous Graphs | Jul 17, 2023 | Node ClassificationNode Property Prediction | CodeCode Available | 1 | 5 |
| Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification | Sep 8, 2020 | General ClassificationGraph Neural Network | CodeCode Available | 1 | 5 |
| Why Propagate Alone? Parallel Use of Labels and Features on Graphs | Oct 14, 2021 | Node Property PredictionProperty Prediction | CodeCode Available | 1 | 5 |
| Adaptive Graph Diffusion Networks | Dec 30, 2020 | GPULink Prediction | CodeCode Available | 1 | 5 |
| A Gaze into the Internal Logic of Graph Neural Networks, with Logic | Aug 5, 2022 | Node Property PredictionProperty Prediction | CodeCode Available | 1 | 5 |
| Bag of Tricks for Node Classification with Graph Neural Networks | Mar 24, 2021 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks | May 20, 2019 | ClusteringComputational Efficiency | CodeCode Available | 1 | 5 |
