Graph Classification on REDDIT BINARY (10-fold cross-validation)
92.6AccuracyRetGK
Evaluation results
| Method | Links | |
|---|---|---|
| RetGK2019.04 | 92.6 | |
| NN-attentionnode embeddings=struc2vec2019.04 | 88.74 | |
| RepSetnode embeddings=struc2vec2019.04 | 87.45 | |
| SAEN2019.04 | 87.22 | |
| PSCNk=102019.04 | 86.3 | |
| NN-meannode embeddings=struc2vec2019.04 | 84.57 | |
| Set-Transformernode embeddings=struc2vec2019.04 | 83.79 | |
| NN-maxnode embeddings=struc2vec2019.04 | 80.98 | |
| ApproxRepSetnode embeddings=struc2vec2019.04 | 80.3 | |
| Deep GR2019.04 | 78.04 | |
| DeepSetsnode embeddings=struc2vec2019.04 | 52.01 |