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@@ -39,7 +39,7 @@ This model aims to:
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  - Facilitate tasks such as molecular prediction, classification, and generation.
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  # Farm Molecular Representation Model
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- You can read more about the model in our [paper](https://arxiv.org/pdf/2410.02082) or [webpage](https://thaonguyen217.github.io/farm/).
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  ![FARM](./main.png)
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  *(a) FARM’s molecular representation learning model architecture. (b) Functional group-aware tokenization and fragmentation algorithm. (c) Snapshot of the functional group knowledge graph. (d) Generation of negative samples for contrastive learning.*
 
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  - Facilitate tasks such as molecular prediction, classification, and generation.
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  # Farm Molecular Representation Model
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+ You can read more about the model in our [paper](https://arxiv.org/pdf/2410.02082) or [webpage](https://thaonguyen217.github.io/farm/) or [github repo](https://github.com/thaonguyen217/farm_molecular_representation).
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  ![FARM](./main.png)
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  *(a) FARM’s molecular representation learning model architecture. (b) Functional group-aware tokenization and fragmentation algorithm. (c) Snapshot of the functional group knowledge graph. (d) Generation of negative samples for contrastive learning.*