Graph Classification 벤치마크
Graph Classification on REDDIT-MULTI-12K
Accuracy
- 2018-06-22 — GNN (DiffPool): Accuracy 47.08
| Rank | Model | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | GNN (DiffPool) | 47.08 | Hierarchical Graph Representation Learning with Differentiable Pooling | dmlc/dgl · RexYing/diffpool · RexYing/graph-pooling · +11 | 2018 |
| 2 | UGraphEmb-F | 41.84 | Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity | yunshengb/UGraphEmb | 2019 |
| 3 | UGraphEmb | 39.97 | Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity | yunshengb/UGraphEmb | 2019 |
| 4 | GNN (DiffPool) | 47.08 | Hierarchical Graph Representation Learning with Differentiable Pooling | dmlc/dgl · RexYing/diffpool · RexYing/graph-pooling · +11 | 2018 |
| 5 | UGraphEmb-F | 41.84 | Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity | yunshengb/UGraphEmb | 2019 |
| 6 | UGraphEmb | 39.97 | Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity | yunshengb/UGraphEmb | 2019 |