Lei Chen

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Ph.D. Student,
Computer Science Department,
Courant Institute of Mathematical Sciences
251 Merser Street, New York
NY 10012, United States
Phone: +1 917 575 4837 (U.S.) | +86 186 1244 0058 (China)
Email: lc3909 [@] nyu [DOT] edu | leichen2019 [@] hotmail [DOT] com

github | vita | google scholar

I am currently working with Joan Bruna and Zhengdao Chen on topics of Graph Neural Networks.

About

I am a first-year Ph.D. student of Computer Science at Courant Institute of Mathematical Sciences, New York University. Prior to this, I got my bachelor degree at Department of Civil Engineering from Tsinghua University in 2016, and master degree at Courant in 2020.

Research Interests

Representation Learning on Graphs.

Education

  • Ph.D. student, Computer Science, New York University, Sep. 2020 - present

  • M.S., Computer Science, New York University, Aug. 2018 - May 2020

  • B.Eng., Civil Engineering, Tsinghua University, Aug. 2012 - July 2016

Manuscripts

(* Equal contributions)

  1. Learning the Relevant Substructures for Tasks on Graph Data
    Lei Chen, Zhengdao Chen, Joan Bruna
    Submitted

  2. On Graph Neural Networks versus Graph-Augmented MLPs arxiv
    Zhengdao Chen*, Lei Chen*, Joan Bruna
    Submitted

Publications

  1. Can Graph Neural Networks Count Substructures? code arxiv
    Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna
    NeurIPS 2020

  2. Attributed Random Walk as Matrix Factorization code paper
    Lei Chen, Shunwang Gong, Joan Bruna, Michael Bronstein
    Graph Representation Learning Workshop NeurIPS 2019

  3. SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator code paper
    Shunwang Gong, Lei Chen, Michael Bronstein, Stefanos Zafeiriou
    Geometry Meets Deep Learning Workshop ICCV 2019

  4. On the Equivalence between Graph Isomorphism Testing and Function Approximation with GNNs code arxiv
    Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna
    NeurIPS 2019

Experiences