Node Classification 벤치마크
Node Classification on Wikipedia
Macro-F1
- 2014-03-26 — DeepWalk: Macro-F1 0.183
- 2017-04-11 — Struc2vec: Macro-F1 0.19
- 2017-11-22 — GraphGAN: Macro-F1 0.194
| Rank | Model | Macro-F1 | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | GraphGAN | 0.194 | 21.3% | GraphGAN: Graph Representation Learning with Generative Adversarial Nets | hwwang55/GraphGAN · liutongyang/GraphGAN-pytorch · shuo-git/GraphGAN · +2 | 2017 |
| 2 | Struc2vec | 0.190 | 21.10% | struc2vec: Learning Node Representations from Structural Identity | shenweichen/GraphEmbedding · leoribeiro/struc2vec · snap-stanford/graphwave · +2 | 2017 |
| 3 | DeepWalk | 0.183 | 19.4% | DeepWalk: Online Learning of Social Representations | PaddlePaddle/PaddleRec · shenweichen/GraphEmbedding · williamleif/GraphSAGE · +11 | 2014 |
| 4 | LINE | 0.164 | 17.50% | LINE: Large-scale Information Network Embedding | shenweichen/GraphEmbedding · tangjianpku/LINE · ink-usc/request · +6 | 2015 |
| 5 | node2vec | 0.1552 | 19.1% | node2vec: Scalable Feature Learning for Networks | dmlc/dgl · shenweichen/GraphEmbedding · aditya-grover/node2vec · +17 | 2016 |
| 6 | DeepWalk | 0.1274 | – | node2vec: Scalable Feature Learning for Networks | dmlc/dgl · shenweichen/GraphEmbedding · aditya-grover/node2vec · +17 | 2016 |