GraphAny: A Foundation Model for Node Classification on Any Graph
Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael Bronstein, Zhaocheng Zhu, Jian TangarXiv 2024 Paper / Code
I received my Ph.D. in Computer Science from Mila - Quebec AI Institute, University of Montreal, advised by Prof. Jian Tang. Prior to that, I obtained my B.S. in Computer Science from Peking University. See my CV for full details.
My research aims to develop reasoning models with better generalization abilities and use them to power various applications in the broad range of artificial intelligence, including but not limited to knowledge graphs and natural languages. I have particular interest in graph representation learning, large language models and neural-symbolic methods. I also work on scalable algorithms and develop machine learning systems. Checkout this slide deck to learn about my research.
I believe that principles are more essential than solutions, and should come first in most cases. I also have a great fondness for elegant and efficient designs. These values motivated most of my works.
In my spare time, I enjoy photography a lot. Together with hiking, these hobbies drive me to explore the beauty of the land, as well as learn about myself and life.
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