| From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited | ✓ Link | 83.4% | OGC | 2023-09-24 |
| Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework | ✓ Link | 83.20% | CPF-tra-GCNII | 2021-03-04 |
| Graph Random Neural Network for Semi-Supervised Learning on Graphs | ✓ Link | 82.7 ± 0.6 | GRAND | 2020-05-22 |
| The Split Matters: Flat Minima Methods for Improving the Performance of GNNs | ✓ Link | 82.60 ± 0.80% | Graph-MLP + ASAM | 2023-06-15 |
| Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks | ✓ Link | 81.9% | DSGCN | 2020-03-26 |
| Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks | ✓ Link | 81.7% | Truncated Krylov | 2019-06-05 |
| How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision | ✓ Link | 81.7% | SuperGAT MX | 2022-04-11 |
| Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification | ✓ Link | 81.12 ± 0.52 | GCN | 2024-06-13 |
| GraphMix: Improved Training of GNNs for Semi-Supervised Learning | ✓ Link | 80.98 ± 0.55 | GraphMix (GCN) | 2019-09-25 |
| Pre-train and Learn: Preserve Global Information for Graph Neural Networks | ✓ Link | 80.95% | G-APPNP | 2019-10-27 |
| From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited | ✓ Link | 80.8% | GGCM | 2023-09-24 |
| Towards Deeper Graph Neural Networks | ✓ Link | 80.5 ± 0.5 | DAGNN (Ours) | 2020-07-18 |
| GraphMix: Improved Training of GNNs for Semi-Supervised Learning | ✓ Link | 80.42% | GCN(predicted-targets) | 2019-09-25 |
| Simple Spectral Graph Convolution | ✓ Link | 80.4 | SSGC | 2021-01-01 |
| Simple and Deep Graph Convolutional Networks | ✓ Link | 80.2% | GCNII | 2020-07-04 |
| Optimization of Graph Neural Networks with Natural Gradient Descent | ✓ Link | 80.06 ± 0.34% | SSP | 2020-08-21 |
| GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction | ✓ Link | 80% | AIR-GCN | 2019-11-05 |
| Graph Entropy Minimization for Semi-supervised Node Classification | ✓ Link | 79.91 | Graph-MLP | 2023-05-31 |
| Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification | ✓ Link | 79.8% | H-GCN | 2019-02-13 |
| []() | | 79.60% | GCN+DropEdge | |
| Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks | ✓ Link | 79.16% | Snowball (tanh) | 2019-06-05 |
| Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks | ✓ Link | 79.10% | Snowball (linear) | 2019-06-05 |
| Graph Attention Networks | ✓ Link | 79.0% | GAT | 2017-10-30 |
| Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning | ✓ Link | 78.9 ± 0.7 | SEGCN | 2018-09-26 |
| Graph Entropy Minimization for Semi-supervised Node Classification | ✓ Link | 78.48 | GEM | 2023-05-31 |
| A Flexible Generative Framework for Graph-based Semi-supervised Learning | ✓ Link | 78.4% | G3NN | 2019-05-26 |
| LanczosNet: Multi-Scale Deep Graph Convolutional Networks | ✓ Link | 78.3 ± 0.3 | LanczosNet | 2019-01-06 |
| LanczosNet: Multi-Scale Deep Graph Convolutional Networks | ✓ Link | 78.1 ± 0.4 | AdaLanczosNet | 2019-01-06 |
| Diffusion-Convolutional Neural Networks | ✓ Link | 76.8% | DCNN | 2015-11-06 |
| Inductive Representation Learning on Large Graphs | ✓ Link | 76.8% | GraphSAGE | 2017-06-07 |
| Convolutional Networks on Graphs for Learning Molecular Fingerprints | ✓ Link | 76.0% | GCN-FP | 2015-09-30 |
| Gated Graph Sequence Neural Networks | ✓ Link | 75.8% | GGNN | 2015-11-17 |
| Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages | ✓ Link | 75.64% | CoLinkDist | 2021-06-16 |
| Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages | ✓ Link | 75.41% | CoLinkDistMLP | 2021-06-16 |
| Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages | ✓ Link | 74.06% | LinkDist | 2021-06-16 |
| Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages | ✓ Link | 72.41% | LinkDistMLP | 2021-06-16 |
| Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering | ✓ Link | 69.8% | ChebyNet | 2016-06-30 |