PyG-GCN
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ki-ljl
PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed, NELL.
PyG-GCN
PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).
Datasets: CiteSeer, Cora, PubMed, NELL.
Environment
pytorch==1.10.1+cu111
torch-geometric==2.0.3
Usage
python gcn.py
Result
| dataset | Citeseer | Cora | Pubmed | NELL |
|---|---|---|---|---|
| acc | 58.40 | 65.90 | 77.80 | 66.25 |
ki-ljl