Graph Classification 벤치마크
Graph Classification on IPC-grounded
Accuracy
- 2015-11-17 — GG-NN: Accuracy 77.9
| Rank | Model | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | GG-NN | 77.9% | Gated Graph Sequence Neural Networks | dmlc/dgl · Microsoft/gated-graph-neural-network-samples · chingyaoc/ggnn.pytorch · +10 | 2015 |
| 2 | CNN | 73.1% | IPC: A Benchmark Data Set for Learning with Graph-Structured Data | IBM/IPC-graph-data | 2019 |
| 3 | GG-NN | 77.9% | Gated Graph Sequence Neural Networks | dmlc/dgl · Microsoft/gated-graph-neural-network-samples · chingyaoc/ggnn.pytorch · +10 | 2015 |
| 4 | CNN | 73.1% | IPC: A Benchmark Data Set for Learning with Graph-Structured Data | IBM/IPC-graph-data | 2019 |