Mufei Li (李牧非)'s Homepage

PhD Student @ Georgia Institute of Technology

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I’m a second-year PhD student in machine learning at Georgia Institute of Technology, advised by Prof. Pan Li. My current research interests include retrieval-augmented generation (RAG) and graph generative models.

Prior to that, I was a software development engineer (SDE) at Amazon Web Services (AWS) Shanghai AI Lab. I received my bachelor’s degree in Honors Math from NYU Shanghai.

I’m actively seeking research internship opportunities for summer 2025 and would be grateful for any relevant information or recommendations.

News

Nov 12, 2024 Check our new paper on SubgraphRAG, a simple yet flexible and effective approach for knowledge-graph-based retrieval-augmented generation!
Nov 3, 2024 Check our new paper on LayerDAG, a layerwise autoregressive diffusion model for directed acyclic graph!
Nov 3, 2024 I’m honored to be a top reviewer for NeurIPS 2024!
Oct 25, 2024 GraphMaker, a discrete diffusion model for genertating text-attributed graphs of up to 10K nodes was accepted by TMLR!
Aug 5, 2024 Our review on graph neural networks (GNNs) for electrical engineering has been accepted by Nature Reviews Electrical Engineering!

Selected Publications

  1. arXiv
    Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
    Mufei Li, Siqi Miao, and Pan Li
    arXiv preprint arXiv:2410.20724, 2024
    Mufei Li and Siqi Miao contributed equally to this work.
  2. arXiv
    LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
    Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas Sridharan, Ying Zhang, Tushar Krishna, and Pan Li
    arXiv preprint arXiv:2411.02322, 2024
  3. TMLR
    GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
    Mufei Li, Eleonora Kreačić, Vamsi K. Potluru, and Pan Li
    Transactions on Machine Learning Research, 2024
  4. ACS Omega
    DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science
    Mufei Li, Jinjing Zhou, Jiajing Hu, Wenxuan Fan, Yangkang Zhang, Yaxin Gu, and George Karypis
    ACS Omega, 2021
  5. arXiv
    Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
    Minjie Wang, Da Zheng, Zihao Ye, Quan Gan, Mufei Li, Xiang Song, Jinjing Zhou, Chao Ma, Lingfan Yu, Yu Gai, Tianjun Xiao, Tong He, George Karypis, Jinyang Li, and Zheng Zhang
    arXiv preprint arXiv:1909.01315, 2019