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@liugangcode
liugangcode
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Gang Liu liugangcode

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  1. torch-moleculetorch-moleculePublic

    torch-molecule is a deep learning package for molecular discovery, designed with an sklearn-style interface for property prediction, inverse design and representation learning.

    Python 264 34

  2. deepevolvedeepevolvePublic

    DeepEvolve is a research and coding agent for new algorithm discovery in different science domains with Deep Research and AlphaEvolve.

    Python 12 2

  3. LlamoleLlamolePublic

    Llamole: Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

    Python 29 1

  4. Graph-DiTGraph-DiTPublic

    The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"

    Python 76 4

  5. GREAGREAPublic

    [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"

    Python 45 6

  6. Data-Centric-TransferData-Centric-TransferPublic

    [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framework with diffusion model on graphs.

    Python 21 2


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