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Achievement: Pull SharkAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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yangnianzu0515/README.md

Hello! I'm Nianzu!

  • 👀 I’m interested in drug discovery, graph neural networks and out-of-distribution generalization.
  • 🌱 I’m currently learning generative models.
  • 💞️ I’m pursuing my PhD degree @SJTU-ThinkLab, supervised by Prof. Junchi Yan, a definitely wonderful advisor!
  • 📫 Welcome academic cooperation and feel free to contact with me via yangnianzu@sjtu.edu.cn!

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  1. MoleOOD MoleOOD Public

    Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).

    Python 58 6

  2. MoleRec MoleRec Public

    The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).

    Python 55 4

  3. Thinklab-SJTU/awesome-molecular-docking Thinklab-SJTU/awesome-molecular-docking Public

    We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.

    90 6

  4. sunlabuiuc/PyHealth sunlabuiuc/PyHealth Public

    A Deep Learning Python Toolkit for Healthcare Applications.

    Python 970 211

  5. Thinklab-SJTU/awesome-ml4co Thinklab-SJTU/awesome-ml4co Public

    Awesome machine learning for combinatorial optimization papers.

    Python 1.7k 201