| Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | Jun 13, 2024 | Node ClassificationNode Property Prediction | CodeCode Available | 2 |
| Temporal Graph Benchmark for Machine Learning on Temporal Graphs | Jul 3, 2023 | Node Property PredictionProperty Prediction | CodeCode Available | 2 |
| SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations | Jun 19, 2023 | Node Property PredictionPhilosophy | CodeCode Available | 2 |
| Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning | May 31, 2023 | Decision MakingGeneral Knowledge | CodeCode Available | 2 |
| Training Graph Neural Networks with 1000 Layers | Jun 14, 2021 | GPUGraph Sampling | CodeCode Available | 2 |
| Open Graph Benchmark: Datasets for Machine Learning on Graphs | May 2, 2020 | Knowledge GraphsNode Property Prediction | CodeCode Available | 2 |
| SSD: Single Shot MultiBox Detector | Dec 8, 2015 | LIDAR Semantic SegmentationLow-Light Image Enhancement | CodeCode Available | 2 |
| Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models | Jun 17, 2025 | AllNode Classification | CodeCode Available | 1 |
| Efficient Heterogeneous Graph Learning via Random Projection | Oct 23, 2023 | Graph LearningGraph Neural Network | CodeCode Available | 1 |
| Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes | Sep 22, 2023 | Node ClassificationNode Property Prediction | CodeCode Available | 1 |
| Long-range Meta-path Search on Large-scale Heterogeneous Graphs | Jul 17, 2023 | Node ClassificationNode Property Prediction | CodeCode Available | 1 |
| Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials | May 31, 2023 | Graph LearningNode Classification | CodeCode Available | 1 |
| A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking | Oct 14, 2022 | BenchmarkingGPU | CodeCode Available | 1 |
| GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks | Aug 14, 2022 | Few-Shot LearningNode Classification | CodeCode Available | 1 |
| A Gaze into the Internal Logic of Graph Neural Networks, with Logic | Aug 5, 2022 | Node Property PredictionProperty Prediction | CodeCode Available | 1 |
| Simple and Efficient Heterogeneous Graph Neural Network | Jul 6, 2022 | Graph Neural NetworkHeterogeneous Node Classification | CodeCode Available | 1 |
| Graph Attention Multi-Layer Perceptron | Jun 9, 2022 | Graph AttentionNode Property Prediction | CodeCode Available | 1 |
| Label-Enhanced Graph Neural Network for Semi-supervised Node Classification | May 31, 2022 | Graph Neural NetworkNode Classification | CodeCode Available | 1 |
| When Do Flat Minima Optimizers Work? | Feb 1, 2022 | BenchmarkingGraph Learning | CodeCode Available | 1 |
| Decoupling the Depth and Scope of Graph Neural Networks | Jan 19, 2022 | Link PredictionNode Classification | CodeCode Available | 1 |
| SCR: Training Graph Neural Networks with Consistency Regularization | Dec 8, 2021 | Node ClassificationNode Property Prediction | CodeCode Available | 1 |
| 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 |
| 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 |
| 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 |
| Adaptive Graph Diffusion Networks | Dec 30, 2020 | GPULink Prediction | CodeCode Available | 1 |
| 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 |
| Graph Attention Networks | Oct 30, 2017 | Document ClassificationGraph Attention | CodeCode Available | 1 |
| Inductive Representation Learning on Large Graphs | Jun 7, 2017 | Graph ClassificationGraph Regression | CodeCode Available | 1 |
| Modeling Relational Data with Graph Convolutional Networks | Mar 17, 2017 | DecoderGeneral Classification | CodeCode Available | 1 |
| Semi-Supervised Classification with Graph Convolutional Networks | Sep 9, 2016 | Document ClassificationDrug Discovery | CodeCode Available | 1 |
| Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification | Dec 11, 2024 | Computational Efficiency | CodeCode Available | 0 |
| Day-Ahead Hourly Solar Irradiance Forecasting Based on Multi-Attributed Spatio-Temporal Graph Convolutional Network | Sep 21, 2022 | Node Property PredictionSolar Irradiance Forecasting | CodeCode Available | 0 |
| Dimensionality Reduction Meets Message Passing for Graph Node Embeddings | Feb 1, 2022 | Dimensionality ReductionNode Classification | CodeCode Available | 0 |
| Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction | Oct 29, 2021 | Extreme Multi-Label ClassificationLanguage Modelling | CodeCode Available | 0 |
| Multipath Graph Convolutional Neural Networks | May 4, 2021 | Node Property PredictionProperty Prediction | CodeCode Available | 0 |
| Learning multi-resolution representations of research patterns in bibliographic networks | Feb 1, 2021 | Graph EmbeddingGraph Representation Learning | CodeCode Available | 0 |
