| Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages | Jun 16, 2021 | Node ClassificationNode Property Prediction | CodeCode Available | 1 | 5 |
| Efficient Heterogeneous Graph Learning via Random Projection | Oct 23, 2023 | Graph LearningGraph Neural Network | CodeCode Available | 1 | 5 |
| Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models | Jun 17, 2025 | AllNode Classification | CodeCode Available | 1 | 5 |
| A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking | Oct 14, 2022 | BenchmarkingGPU | CodeCode Available | 1 | 5 |
| Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation | Oct 17, 2021 | Knowledge DistillationNode Classification | CodeCode Available | 1 | 5 |
| GraphSAINT: Graph Sampling Based Inductive Learning Method | Jul 10, 2019 | Graph AttentionGraph Embedding | CodeCode Available | 1 | 5 |
| Graph Attention Networks | Oct 30, 2017 | Document ClassificationGraph Attention | CodeCode Available | 1 | 5 |
| Graph Attention Multi-Layer Perceptron | Jun 9, 2022 | Graph AttentionNode Property Prediction | CodeCode Available | 1 | 5 |
| Decoupling the Depth and Scope of Graph Neural Networks | Jan 19, 2022 | Link PredictionNode Classification | CodeCode Available | 1 | 5 |
| GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks | Aug 14, 2022 | Few-Shot LearningNode Classification | CodeCode Available | 1 | 5 |
