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4 changes: 2 additions & 2 deletions README.md
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# SyntaLinker (Automatic Fragment Linking with Deep Conditional Transformer Neural Networks)

This is the code for the "SyntaLinker: Automatic Fragment Linking with Deep Conditional Transformer Neural Networks" paper found on [ChemRxiv](https://ChemRxiv.org/).
This is the code for the "SyntaLinker: Automatic Fragment Linking with Deep Conditional Transformer Neural Networks" paper found on [RSC Chemical Science](https://pubs.rsc.org/en/content/articlelanding/2020/sc/d0sc03126g).

To implement our models we were based on [OpenNMT-py (v0.4.1)](http://opennmt.net/OpenNMT-py/).

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## Citation

If you find this work useful in your research, please consider citing the paper:
"SyntaLinker: Automatic Fragment Linking with Deep Conditional Transformer Neural Networks".
"SyntaLinker: Automatic Fragment Linking with Deep Conditional Transformer Neural Networks, Chem. Sci., 2020,11, 8312-8322"



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