keyulu

Keyulu Xu

Email: keyulu [at] mit (dot) edu

Office: MIT Stata Center, 32-G480

Mail: 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430


I am interested in adventurous and artsy things. Moreover, I enjoy interacting with interesting or cute people.

Recent News

Publications

Email me if you have any questions about my papers or code, or if you would like to collaborate with me.

  1. How Powerful are Graph Neural Networks?
    Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka.
    [PDF] [arXiv]
  2. Representation Learning on Graphs with Jumping Knowledge Networks
    Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka.
    International Conference on Machine Learning (ICML) 2018. Long talk.
    [Paper] [arXiv] [Code (soon)]
  3. Distributional Adversarial Networks
    Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra.
    International Conference on Learning Representations workshop track (ICLR) 2018.
    [arXiv]
  4. Generating Random Spanning Trees via Fast Matrix Multiplication
    Nicholas J. A. Harvey and Keyulu Xu.
    Latin American Theoretical Informatics Symposium (LATIN) 2016.
    [Paper] [Web]

Experience

I have lived and worked in some of the most exciting cities in the world -- Vancouver, Tokyo, NYC and Shanghai.

Talks

Some recent talks by Keyulu, with video if available.

Representation Learning on Graphs with Jumping Knowledge Networks, at RIKEN AIP, Nihonbashi, Tokyo. [Slides]
Representation Learning on Graphs with Jumping Knowledge Networks, at ICML 2018, Stockholm, Sweden. [Slides] [Video]
Generating Random Spanning Trees via Fast Matrix Multiplication, at LATIN 2016, Ensenada, Mexico. [Slides]