dmlc--dgl
Chao Ma
785 B
785 B
Learning Deep Generative Models of Graphs
This is an implementation of Learning Deep Generative Models of Graphs by Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter Battaglia.
Dependencies
- Python 3.5.2
- Pytorch 0.4.1
- Matplotlib 2.2.2
Usage
- Train with batch size 1:
python3 main.py - Train with batch size larger than 1:
python3 main_batch.py.
Performance
90% accuracy for cycles compared with 84% accuracy reported in the original paper.
Speed
On AWS p3.2x instance (w/ V100), one epoch takes ~526s for batch size 1 and takes ~238s for batch size 10.
Acknowledgement
We would like to thank Yujia Li for providing details on the implementation.