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  • Displaying 5 results
    Synthetic Graph Generation for DGL-PyTorch
    NVIDIA Deep Learning Examples
    The Synthetic Graph Generation tool enables users to generate arbitrary graphs based on provided real data.
    Resource
    SE(3)-Transformers for PyTorch
    NVIDIA Deep Learning Examples
    A Graph Neural Network using a variant of self-attention for 3D points and graphs processing.
    Resource
    MoFlow for PyTorch
    NVIDIA Deep Learning Examples
    MoFlow is a model for molecule generation that leverages Normalizing Flows. This implementation is an optimized version of the model in the original paper.
    Resource
    SE(3)-Transformer checkpoint trained on QM9 homo task
    Model
    MoFlow PyTorch checkpoint
    NVIDIA Deep Learning Examples
    MoFlow PyTorch checkpoint
    Model

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