Graph Compression on ZINC
1.3Data Size (BPE)GRAN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GRANMethod type=Neural (likelihood)2021.07 | 1.3 | 157.7 | — | |
| GraphRNNMethod type=Neural (likelihood)2021.07 | 1.62 | 43.16 | — | |
| GraphRNN (pruned)Method type=Neural (likelihood)2021.07 | 1.79 | 2.02 | — | |
| PnC + LouvainMethod type=PnC2021.07 | 1.96 | 1.99 | 196 | |
| PnC + PropClustMethod type=PnC2021.07 | 2.2 | 2.35 | 726 | |
| GRAN (pruned)Method type=Neural (likelihood)2021.07 | 3.26 | 3.47 | — | |
| PnC + SBMMethod type=PnC2021.07 | 3.34 | 3.45 | 594 | |
| SBM-BayesMethod type=Partitioning (non-parametric)2021.07 | 4.75 | — | — | |
| LouvainMethod type=Partitioning (non-parametric)2021.07 | 4.77 | — | — | |
| PropClustMethod type=Partitioning (non-parametric)2021.07 | 4.85 | — | — | |
| Erdős-RenyiMethod type=Null2021.07 | 5.15 | — | — | |
| Edge listMethod type=Null2021.07 | 8.6 | — | — | |
| Uniform (raw adjac.)Method type=Null2021.07 | 10.9 | — | — | |
| PnC + Neural Part.Method type=PnC2021.07 | — | — | 384,105 |