About me

I am currently a final-year Ph.D. student at the Gaoling School of Artificial Intelligence, Renmin University of China, under the supervision of Prof. Zhewei Wei. As of October 2024, I am also a visiting student at the Technical University of Munich, collaborating with Prof. Stephan Günnemann. Prior to this, I earned my B.E. degree in Software Engineering from the School of Computer Science at Central South University in June 2020.

Research Interests

• Spectral Graph Neural Networks
• Graph Transformer
• Heterogeneous Graph Neural Networks
• Directed Graph Neural Networks.
• AI4Science

I am actively seeking job opportunities! If you’re interested, feel free to reach out via email. I am also open to presenting my research in related seminars—don’t hesitate to invite me for a talk!

Publication

• PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer. [Paper][Code]
  Jiahong Ma, Mingguo He, Zhewei Wei.
  In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. (KDD 2024)
  

• Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. [Paper][Code]
  Mingguo He,Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu.
  In Proceedings of the ACM Web Conference 2024. (TheWebConf 2024, Oral Presentation)
  

• Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. [Paper][Code]
  Mingguo He, Zhewei Wei, Ji-Rong Wen.
  In the 36th Conference on Neural Information Processing Systems. (NeurIPS 2022, Oral Presentation)
  

• BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. [Paper][Code]
  Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu.
  The 35th Conference on Neural Information Processing Systems. (NeurIPS 2021)
  

• Approximate Graph Propagation. [Paper][Code]
  Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen.
  In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. (KDD 2021)

Awards

• National Scholarship for Doctoral Students, 2024
• Provincial Excellent Graduates, 2020
• National Scholarship for Undergraduate Students, 2018

Services

I serve(d) as a program committee member/reviewer for:

• Conference on Neural Information Processing Systems (NeurIPS 22/23/24)
• International Conference on Machine Learning (ICML 23/24)
• International Conference on Learning Representations (ICLR 24/25)
• International World Wide Web Conference (TheWebConf 24/25)
• Learning on Graphs Conference (LoG 24)
• Association for the Advancement of Artificial Intelligence Conference (AAAI 25)
• Web Search and Data Mining Conference (WSDM 23/24/25)