Graph Generative Modeling on MUTAG (test)
0.006Degree DistributionGraphRNN-S
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GraphRNN-S2022.10 | 0.006 | 0.0005 | 0.002 | — | 1.157 | |
| GraphRNN2022.10 | 0.006 | 0.21 | 0.0008 | — | 0.819 | |
| GraphRNN-S2022.10 | 0.006 | 0.0005 | 0.002 | 0.105 | 1.157 | |
| GraphRNN2022.10 | 0.006 | 0.21 | 0.0008 | 0.07 | 0.819 | |
| BiGG2022.10 | 0.004 | 0 | 0.002 | — | 0.293 | |
| BiGG2022.10 | 0.004 | 0 | 0.002 | 0.04 | 0.293 | |
| GraphVAE-MM2022.10 | 0.001 | 0 | 0.0001 | — | 0.015 | |
| GraphVAE-MM2022.10 | 0.001 | 0 | 0.0001 | 0.019 | 0.015 | |
| GRAN2022.10 | 0.0006 | 0.015 | 0.007 | — | 0.685 | |
| GRAN2022.10 | 0.0006 | 0.015 | 0.007 | 0.053 | 0.685 | |
| 50/50 split2022.10 | 0.0003 | 0 | 0 | — | 0.013 | |
| 50/50 split2022.10 | 0.0003 | 0 | 0 | 0.005 | 0.013 |