Generating Random Spanning Trees via Fast Matrix Multiplication. - Nicholas J. A. Harvey; Keyulu Xu (LATIN, 2016)

Distributional Adversarial Networks. - Chengtao Li; David Alvarez-Melis; Keyulu Xu; Stefanie Jegelka; Suvrit Sra (ICLR (Workshop), 2018)

Representation Learning on Graphs with Jumping Knowledge Networks. - Keyulu Xu; Chengtao Li; Yonglong Tian; Tomohiro Sonobe; Ken-ichi Kawarabayashi; Stefanie Jegelka (ICML, 2018)

Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. - Mozhi Zhang; Keyulu Xu; Ken-ichi Kawarabayashi; Stefanie Jegelka; Jordan L. Boyd-Graber (ACL (1), 2019)

How Powerful are Graph Neural Networks? - Keyulu Xu; Weihua Hu; Jure Leskovec; Stefanie Jegelka (ICLR, 2019)

Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels. - Simon S. Du; Kangcheng Hou; Ruslan Salakhutdinov; Barnabás Póczos; Ruosong Wang; Keyulu Xu (NeurIPS, 2019)

What Can Neural Networks Reason About? - Keyulu Xu; Jingling Li; Mozhi Zhang; Simon S. Du; Ken-ichi Kawarabayashi; Stefanie Jegelka (ICLR, 2020)

Graph Adversarial Networks: Protecting Information against Adversarial Attacks. - Peiyuan Liao; Han Zhao 002; Keyulu Xu; Tommi S. Jaakkola; Geoffrey J. Gordon; Stefanie Jegelka; Ruslan Salakhutdinov (CoRR, 2020)

Noisy Labels Can Induce Good Representations. - Jingling Li; Mozhi Zhang; Keyulu Xu; John P. Dickerson; Jimmy Ba (CoRR, 2020)

How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks. - Keyulu Xu; Mozhi Zhang; Jingling Li; Simon Shaolei Du; Ken-ichi Kawarabayashi; Stefanie Jegelka (ICLR, 2021)

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. - Tianle Cai; Shengjie Luo; Keyulu Xu; Di He 001; Tie-Yan Liu; Liwei Wang 001 (ICML, 2021)

Information Obfuscation of Graph Neural Networks. - Peiyuan Liao; Han Zhao 002; Keyulu Xu; Tommi S. Jaakkola; Geoffrey J. Gordon; Stefanie Jegelka; Ruslan Salakhutdinov (ICML, 2021)

Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. - Keyulu Xu; Mozhi Zhang; Stefanie Jegelka; Kenji Kawaguchi (ICML, 2021)

How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? - Jingling Li; Mozhi Zhang; Keyulu Xu; John Dickerson 001; Jimmy Ba (NeurIPS, 2021)

Modeling Intelligence via Graph Neural Networks. - Keyulu Xu (2021)