shllln / Generativegraph
Licence: mit
Implementation For the paper from DeepMind
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[WIP] Pytorch Implementation for Learning Deep Generative Models of Graphs
Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter Battaglia (DeepMind,London,UK)
https://arxiv.org/abs/1803.03324
Usage
Enviroments (CPU/GPU)
Pull the Envrioment for this implementation.
docker pull relutropy/research
Run the enviroment.
CPU
docker run -i -t -p 1111:1111 relutropy/research /bin/bash
GPU
nvidia-docker run -i -t -p 1111:1111 relutropy/research /bin/bash
Start jupyter server by below command.
In container $ nohup jupyter notebook --allow-root >> jupyter.log 2>&1 &
Codes on Jupyter Notebooks
To get notebooks execute this command.
In container $ git clone https://github.com/shllln/GenerativeGraph.git
Welcome PR and issue.
This is prtotype.
There are some differences from the paper.
For example, h_v_init has no condition vector.
That will match the paper soon.
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