Research map / Graph learning / GNN architectures
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add skip connections to form a multiscale GNN | GCN · Cora and Citeseer | training speed | Helped |
| Increase depth | GCN, with or without skip connections · Cora and Citeseer | training speed | Helped |
| Use original labels instead of random labels | GCN · Cora and Citeseer | training speed | Helped |
| Use GIN instead of GCN | GNN · Cora | training speed | Helped |
| Use linear activations instead of ReLU | GNN · Cora node classification | training speed | No clear effect |
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