Keyulu Xu

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 23

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Publications

Jingling Li, Mozhi Zhang, Keyulu Xu, John Dickerson, Jimmy Ba
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NeurIPS (2021)
Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. CoRR (2021)
Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. ICML (2021)
Keyulu Xu, Mozhi Zhang, Jingling Li, Simon Shaolei Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks. ICLR (2021)
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov
Information Obfuscation of Graph Neural Networks. ICML (2021)
Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. ICML (2021)
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov
Graph Adversarial Networks: Protecting Information against Adversarial Attacks. CoRR (2020)
Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. CoRR (2020)
Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba
Noisy Labels Can Induce Good Representations. CoRR (2020)
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
What Can Neural Networks Reason About? ICLR (2020)
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks. CoRR (2020)
Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka
How Powerful are Graph Neural Networks? ICLR (2019)
Simon S. Du, Kangcheng Hou, Ruslan Salakhutdinov, Barnabás Póczos, Ruosong Wang, Keyulu Xu
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels. NeurIPS (2019)
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
What Can Neural Networks Reason About? CoRR (2019)
Simon S. Du, Kangcheng Hou, Barnabás Póczos, Ruslan Salakhutdinov, Ruosong Wang, Keyulu Xu
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels. CoRR (2019)
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. ACL (1) (2019)
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan L. Boyd-Graber
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization. CoRR (2019)
Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra
Distributional Adversarial Networks. ICLR (Workshop) (2018)
Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka
Representation Learning on Graphs with Jumping Knowledge Networks. ICML (2018)
Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka
How Powerful are Graph Neural Networks? CoRR (2018)
Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka
Representation Learning on Graphs with Jumping Knowledge Networks. CoRR (2018)
Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra
Distributional Adversarial Networks. CoRR (2017)
Nicholas J. A. Harvey, Keyulu Xu
Generating Random Spanning Trees via Fast Matrix Multiplication. LATIN (2016)