Graph Compression on MUTAG
8.44Data Size (BPE)Uniform (raw adjac.)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Uniform (raw adjac.)Method type=Null2021.07 | 8.44 | — | — | |
| Edge listMethod type=Null2021.07 | 7.97 | — | — | |
| PropClustMethod type=Partitioning (non-parametric)2021.07 | 4.92 | — | — | |
| LouvainMethod type=Partitioning (non-parametric)2021.07 | 4.8 | — | — | |
| Erdős-RenyiMethod type=Null2021.07 | 4.78 | — | — | |
| SBM-BayesMethod type=Partitioning (non-parametric)2021.07 | 4.62 | — | — | |
| PnC + SBMMethod type=PnC2021.07 | 3.81 | 4.11 | 49 | |
| GRAN (pruned)Method type=Neural (likelihood)2021.07 | 2.59 | 24.56 | — | |
| PnC + PropClustMethod type=PnC2021.07 | 2.42 | 3.03 | 63 | |
| PnC + LouvainMethod type=PnC2021.07 | 2.2 | 2.51 | 47 | |
| GraphRNN (pruned)Method type=Neural (likelihood)2021.07 | 1.95 | 12.39 | — | |
| GraphRNNMethod type=Neural (likelihood)2021.07 | 1.33 | 3,338.21 | — | |
| GRANMethod type=Neural (likelihood)2021.07 | 0.81 | 12,557.75 | — | |
| PnC + Neural Part.Method type=PnC2021.07 | — | — | 461 |