Node Classification 벤치마크
Node Classification on BlogCatalog
Accuracy
- 2016-07-03 — node2vec: Accuracy 21.5
- 2017-11-22 — GraphGAN: Accuracy 23.2
- 2019-06-05 — DEMO-Net(weight): Accuracy 84.9
- 2024-07-12 — ISNE: Accuracy 87.3
| Rank | Model | Accuracy | Macro-F1 | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | ISNE | 87.3 | – | Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding | ricsi98/inductive-shallow-node-embedding | 2024 |
| 2 | DEMO-Net(weight) | 84.9 | – | DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification | jwu4sml/DEMO-Net | 2019 |
| 3 | GCN+GAugM | 77.6 | – | Data Augmentation for Graph Neural Networks | zhao-tong/GAug · andyjzhao/wsdm23-gsr | 2020 |
| 4 | GraphGAN | 23.20 | 0.221 | GraphGAN: Graph Representation Learning with Generative Adversarial Nets | hwwang55/GraphGAN · liutongyang/GraphGAN-pytorch · shuo-git/GraphGAN · +2 | 2017 |
| 5 | node2vec | 21.5 | 0.2581 | node2vec: Scalable Feature Learning for Networks | dmlc/dgl · shenweichen/GraphEmbedding · aditya-grover/node2vec · +17 | 2016 |
| 6 | DeepWalk | – | 0.206 | node2vec: Scalable Feature Learning for Networks | dmlc/dgl · shenweichen/GraphEmbedding · aditya-grover/node2vec · +17 | 2016 |