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CurryTang/README.md

Hi there 👋

I'm currently a CS PhD student from Michigan State University. My research interest lies in graph machine learning (past & current & future), symmetry-inspired machine learning (current & future), and probabilistic machine learning (future). A summarization of my past works:

Synergizing large language models and graph machine learning

(: Personally, I don't like these lines of work much, but they earn me lots of citations

Graph Foundation Model

Foundational theory of graph machine learning

Application of graph machine learning

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  1. Graph-LLM Graph-LLM Public

    Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

    Python 249 26

  2. LLMGNN LLMGNN Public

    Label-free Node Classification on Graphs with Large Language Models (LLMS)

    Python 62 7

  3. Towards-graph-foundation-models Towards-graph-foundation-models Public

    77 3

  4. HaitaoMao/Demystify-structural-disparity HaitaoMao/Demystify-structural-disparity Public

    Python 7 2

  5. Awesome_Graph_Foundation_Models Awesome_Graph_Foundation_Models Public

    Accompanied repositories for our paper Graph foundation model

    140 12

  6. TSGFM TSGFM Public

    Python 22