Graph Generative Modeling on MUTAG (test) benchmark leaderboard · SOTA2 Research

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