https://github.com/deepgraphlearning/graphaf
https://github.com/deepgraphlearning/graphaf
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/deepgraphlearning/graphaf
- Owner: DeepGraphLearning
- Created: 2020-01-28T08:59:13.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-08-20T02:48:58.000Z (over 4 years ago)
- Last Synced: 2025-01-06T09:03:23.771Z (12 months ago)
- Size: 1.95 KB
- Stars: 52
- Watchers: 9
- Forks: 5
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
This repo contains a reference implementation for GraphAF as described in the paper:
> GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
> [Chence Shi](https://chenceshi.com/)\*, [Minkai Xu](https://minkaixu.com/)\*, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, [Jian Tang](https://jian-tang.com/)
> International Conference on Learning Representations (ICLR), 2020.
> Paper: [https://arxiv.org/abs/2001.09382](https://arxiv.org/abs/2001.09382)
Code is available at [google drive](https://drive.google.com/open?id=1FmYWcT8jDrwZlzPbmMpRhulb9OKTDWJL) now.
**Update: We implement the GraphAF in our [TorchDrug](https://torchdrug.ai/docs/tutorials/generation.html) platform.**