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meettyj/README.md

Hi there 👋 I am open to collaborations!

I am an AI Researcher at Amazon AWS AI Lab. My recent research specializes in post-training on LLMs, and I have a strong background in Graph ML. I like working with different people on different projects. Please drop me an email if you want to collaborate :)

[ LinkedIn | Google Scholar | yijuntian.com ]

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  1. GNP GNP Public

    Code for AAAI'24 paper "Graph Neural Prompting with Large Language Models".

    47 2

  2. HGMAE HGMAE Public

    Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".

    Python 63 6

  3. NOSMOG NOSMOG Public

    Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".

    Python 31 11

  4. Recipe2Vec Recipe2Vec Public

    Code & data for IJCAI'22 paper "Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks".

    Jupyter Notebook 13 3

  5. RecipeRec RecipeRec Public

    Code & data for IJCAI'22 paper "RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation".

    Jupyter Notebook 16 8

  6. LLMs-Design-Choices LLMs-Design-Choices Public

    Repo for paper "On The Design Choices of Next Level LLMs"

    7