| MEGAN: Multi-Explanation Graph Attention Network | Nov 23, 2022 | Explainable artificial intelligenceGraph Attention | CodeCode Available | 1 | 5 |
| Multi-Mask Aggregators for Graph Neural Networks | Nov 24, 2022 | BenchmarkingGraph Regression | CodeCode Available | 1 | 5 |
| Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures | Feb 17, 2023 | Graph ClassificationGraph Learning | CodeCode Available | 1 | 5 |
| Beyond Message Passing: Neural Graph Pattern Machine | Jan 30, 2025 | Graph ClassificationGraph Learning | CodeCode Available | 1 | 5 |
| Neural Message Passing for Quantum Chemistry | Apr 4, 2017 | Drug DiscoveryFormation Energy | CodeCode Available | 1 | 5 |
| OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs | Mar 17, 2021 | BIG-bench Machine LearningGraph Learning | CodeCode Available | 1 | 5 |
| O-GNN: Incorporating Ring Priors into Molecular Modeling | May 1, 2023 | Drug DesignGraph Regression | CodeCode Available | 1 | 5 |
| On the Connection Between MPNN and Graph Transformer | Jan 27, 2023 | Graph ClassificationGraph Learning | CodeCode Available | 1 | 5 |
| Optimal Transport Graph Neural Networks | Jun 8, 2020 | Drug DiscoveryGraph Neural Network | CodeCode Available | 1 | 5 |
| PANDA: Expanded Width-Aware Message Passing Beyond Rewiring | Jun 6, 2024 | Graph ClassificationGraph Neural Network | CodeCode Available | 1 | 5 |
| Path Integral Based Convolution and Pooling for Graph Neural Networks | Jun 29, 2020 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Path Neural Networks: Expressive and Accurate Graph Neural Networks | Jun 9, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Physics-informed neural networks for corrosion-fatigue prognosis | Sep 22, 2019 | Graph RegressionGraph-to-Sequence | CodeCode Available | 1 | 5 |
| Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck | Feb 20, 2025 | Graph ClassificationGraph Neural Network | CodeCode Available | 1 | 5 |
| Principal Neighbourhood Aggregation for Graph Nets | Apr 12, 2020 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Pure Transformers are Powerful Graph Learners | Jul 6, 2022 | Graph ClassificationGraph Learning | CodeCode Available | 1 | 5 |
| Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers | Apr 21, 2023 | Graph Regression | CodeCode Available | 1 | 5 |
| Semi-Supervised Classification with Graph Convolutional Networks | Sep 9, 2016 | Document ClassificationDrug Discovery | CodeCode Available | 1 | 5 |
| Semi-Supervised Graph Imbalanced Regression | May 20, 2023 | Graph Regressionregression | CodeCode Available | 1 | 5 |
| Sign and Basis Invariant Networks for Spectral Graph Representation Learning | Feb 25, 2022 | Graph RegressionGraph Representation Learning | CodeCode Available | 1 | 5 |
| Simple and Deep Graph Convolutional Networks | Jul 4, 2020 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Simplifying Graph Convolutional Networks | Feb 19, 2019 | Graph RegressionImage Classification | CodeCode Available | 1 | 5 |
| Spatio-Spectral Graph Neural Networks | May 29, 2024 | GPUGraph Classification | CodeCode Available | 1 | 5 |
| Substructure Aware Graph Neural Networks | Jun 26, 2023 | Graph LearningGraph Regression | CodeCode Available | 1 | 5 |
| The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles | Jun 2, 2023 | Graph LearningGraph Regression | CodeCode Available | 1 | 5 |
| Topology-Informed Graph Transformer | Feb 3, 2024 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering | May 10, 2023 | Computational EfficiencyGraph Learning | CodeCode Available | 1 | 5 |
| Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations | Aug 15, 2023 | Graph RegressionLink Prediction | CodeCode Available | 1 | 5 |
| Enhancing Graph Transformers with Hierarchical Distance Structural Encoding | Aug 22, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs | Oct 27, 2021 | 2kGraph Regression | CodeCode Available | 1 | 5 |
| Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs | May 21, 2021 | 2kGraph Regression | CodeCode Available | 1 | 5 |
| Weisfeiler and Lehman Go Cellular: CW Networks | Jun 23, 2021 | Graph ClassificationGraph Property Prediction | CodeCode Available | 1 | 5 |
| DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting | Aug 16, 2023 | Graph Neural NetworkGraph Regression | CodeCode Available | 1 | 5 |
| Directional Graph Networks | Oct 6, 2020 | Data AugmentationGraph Classification | CodeCode Available | 1 | 5 |
| DRew: Dynamically Rewired Message Passing with Delay | May 13, 2023 | Graph ClassificationGraph Regression | CodeCode Available | 1 | 5 |
| TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning | Nov 23, 2024 | Computational EfficiencyGraph Neural Network | CodeCode Available | 0 | 5 |
| Convolutional Networks on Graphs for Learning Molecular Fingerprints | Sep 30, 2015 | Drug DiscoveryGraph Regression | CodeCode Available | 0 | 5 |
| Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective | Jun 25, 2019 | Graph Neural NetworkGraph Regression | CodeCode Available | 0 | 5 |
| From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis | Nov 17, 2024 | Graph RegressionHeterogeneous Node Classification | CodeCode Available | 0 | 5 |
| Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels | Feb 6, 2024 | Graph ClassificationGraph Regression | CodeCode Available | 0 | 5 |
| GEM-2: Next Generation Molecular Property Prediction Network by Modeling Full-range Many-body Interactions | Aug 11, 2022 | Computational chemistryDrug Discovery | CodeCode Available | 0 | 5 |
| Geometric deep learning on graphs and manifolds using mixture model CNNs | Nov 25, 2016 | Deep LearningDocument Classification | CodeCode Available | 0 | 5 |
| GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method | Sep 17, 2024 | Graph RegressionMulti-Task Learning | CodeCode Available | 0 | 5 |
| Molecule Property Prediction Based on Spatial Graph Embedding | Aug 22, 2019 | Drug DiscoveryGraph Embedding | CodeCode Available | 0 | 5 |
| ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction | Oct 7, 2022 | Graph RegressionMolecular Property Prediction | CodeCode Available | 0 | 5 |
| Provably Powerful Graph Networks | May 27, 2019 | Graph ClassificationGraph Learning | CodeCode Available | 0 | 5 |
| Ranking Structured Objects with Graph Neural Networks | Apr 18, 2021 | Graph RankingGraph Regression | CodeCode Available | 0 | 5 |
| Graph Neural Networks for Jamming Source Localization | Jun 1, 2025 | feature selectiongraph construction | CodeCode Available | 0 | 5 |
| Attention-based Graph Neural Network for Semi-supervised Learning | Mar 10, 2018 | Graph Neural NetworkGraph Regression | CodeCode Available | 0 | 5 |
| Graph Neural Networks with convolutional ARMA filters | Jan 5, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
