| Learning on Large-scale Text-attributed Graphs via Variational Inference | ✓ Link | 0.7037 ± 0.0002 | Yes | 0.7354 ± 0.0001 | 154775375 | GLEM+GIANT+GAMLP | 2022-10-26 |
| Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction | ✓ Link | 0.6967 ± 0.0005 | Yes | 0.7305 ± 0.0004 | 21551631 | GIANT-XRT+GAMLP+RLU (use raw text) | 2021-10-29 |
| SCR: Training Graph Neural Networks with Consistency Regularization | ✓ Link | 0.6842 ± 0.0015 | No | 0.7188 ± 0.0007 | 67560875 | GAMLP+RLU+SCR | 2021-12-08 |
| Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training | ✓ Link | 0.6830 ± 0.0008 | No | 0.7163 ± 0.0007 | 8556888 | SAGN+SLE (4 stages) | 2021-04-19 |
| []() | | 0.6825 ± 0.0011 | No | 0.7159 ± 0.0005 | 16308751 | GAMLP+RLU | |
| SCR: Training Graph Neural Networks with Consistency Regularization | ✓ Link | 0.6816 ± 0.0012 | No | 0.7186 ± 0.0008 | 67560875 | GAMLP+SCR-m | 2021-12-08 |
| SCR: Training Graph Neural Networks with Consistency Regularization | ✓ Link | 0.6814 ± 0.0008 | No | 0.7190 ± 0.0007 | 67560875 | GAMLP+SCR | 2021-12-08 |
| Improving Graph Neural Networks with Simple Architecture Design | ✓ Link | 0.6807 ± 0.0006 | No | 0.7175 ± 0.0007 | 16453301 | FSGNN | 2021-05-17 |
| Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training | ✓ Link | 0.6800 ± 0.0015 | No | 0.7131 ± 0.0010 | 8556888 | SAGN+SLE | 2021-04-19 |
| []() | | 0.6771 ± 0.0020 | No | 0.7117 ± 0.0014 | 16308751 | GAMLP | |
| Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification | ✓ Link | 0.6736 ± 0.0010 | No | 0.7172 ± 0.0005 | 883378 | TransformerConv | 2020-09-08 |
| Decoupling the Depth and Scope of Graph Neural Networks | ✓ Link | 0.6708±0.0017 | No | 0.7073± 0.0011 | 4205544 | shaDow-GAT | 2022-01-19 |
| Inductive Representation Learning on Large Graphs | ✓ Link | 0.6706 ± 0.0017 | No | 0.7032 ± 0.0011 | 5755172 | GraphSAGE_res_incep | 2017-06-07 |
| Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training | ✓ Link | 0.6675 ± 0.0084 | No | 0.7034 ± 0.0099 | 6098092 | SAGN | 2021-04-19 |
| SIGN: Scalable Inception Graph Neural Networks | ✓ Link | 0.6606 ± 0.0019 | No | 0.6984 ± 0.0006 | 7180460 | SIGN-XL | 2020-04-23 |
| Dimensionality Reduction Meets Message Passing for Graph Node Embeddings | ✓ Link | 0.6591 ± 0.0003 | No | 0.6982 ± 0.0002 | 0 | PCAPass + LightGBM | 2022-02-01 |
| SIGN: Scalable Inception Graph Neural Networks | ✓ Link | 0.6568 ± 0.0006 | No | 0.6932 ± 0.0006 | 1008812 | SIGN | 2020-04-23 |
| Simplifying Graph Convolutional Networks | ✓ Link | 0.6329 ± 0.0019 | No | 0.6648 ± 0.0020 | 144044 | SGC | 2019-02-19 |
| node2vec: Scalable Feature Learning for Networks | ✓ Link | 0.5560 ± 0.0023 | No | 0.5807 ± 0.0028 | 14215818412 | Node2vec | 2016-07-03 |
| Open Graph Benchmark: Datasets for Machine Learning on Graphs | ✓ Link | 0.4724 ± 0.0031 | No | 0.4960 ± 0.0029 | 144044 | MLP | 2020-05-02 |