GraphME (Graph Machine Learning and Intelligent Education) Lab at Zhejiang Normal University focuses on research in machine learning on graphs, graph neural networks, hypergraph/graph learning, intelligent education technologies, and their applications, etc. As a leading lab in the field, we are committed to advancing both the theory and practical applications of graph machine learning and intelligent education through innovative projects, publications, and collaborations.

Latest News

[AAAI ×3]: Three papers are accepted at AAAI-25.   Congratulations to Yongchun, Yi, Tingyi, and Yujie. [ Click for more Info. ]
  • M. Li, Y. Gu, Y. Wang, Y. Fang, Lu Bai, X. Zhuang, P. Lio,   When hypergraph meets heterophily: New benchmark datasets and baseline.
  • M. Li, Y. Fang, Y. Wang, H. Feng, Y. Gu, L. Bai, P. Lio,   Deep hypergraph neural networks with tight framelets.
  • T. Cai, Y. Jiang, M. Li, C. Huang, Y. Wang, Q. Huang,   ML-GOOD: Towards multi-label graph out-of-distribution detection.