Towards Foundation Models for Knowledge Graph ReasoningMikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
ICLR 2024 Paper / Code
I am a final-year Ph.D. candidate at Mila - Quebec AI Institute, University of Montreal, advised by Prof. Jian Tang. I am fortunate to take an internship at Google, under the guidance of Hanjun Dai and Yuan Xue. Prior to that, I obtained my B.S. in Computer Science from Peking University.
My research aims to develop models with better reasoning 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 zero-shot/few-shot generalization, graph representation learning, large language models and neural-symbolic methods. I also work on scalable algorithms and develop machine learning systems. See my CV for full details.
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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