Graph Compression on PTC
1.57Data (BPE)GraphRNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GraphRNNMethod type=Neural (likelihood)2021.07 | 1.57 | 1,394.59 | — | |
| GraphRNN (pruned)Method type=Neural (likelihood)2021.07 | 2.16 | 6.71 | — | |
| GRANMethod type=Neural (likelihood)2021.07 | 2.18 | 5,269.82 | — | |
| PnC + LouvainMethod type=PnC2021.07 | 2.68 | 3.14 | 166 | |
| PnC + PropClustMethod type=PnC2021.07 | 3.38 | 4.02 | 178 | |
| GRAN (pruned)Method type=Neural (likelihood)2021.07 | 4.31 | 14 | — | |
| PnC + SBMMethod type=PnC2021.07 | 4.38 | 4.79 | 155 | |
| SBM-BayesMethod type=Partitioning (non-parametric)2021.07 | 5.12 | — | — | |
| LouvainMethod type=Partitioning (non-parametric)2021.07 | 5.27 | — | — | |
| PropClustMethod type=Partitioning (non-parametric)2021.07 | 5.4 | — | — | |
| Erdős-RenyiMethod type=Null2021.07 | 5.67 | — | — | |
| Edge listMethod type=Null2021.07 | 9.38 | — | — | |
| Uniform (raw adjac.)Method type=Null2021.07 | 17.43 | — | — | |
| PnC + Neural Part.Method type=PnC2021.07 | — | — | 14,331 |