Keyulu Xu

According to our database, Keyulu Xu authored at least 15 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Modeling Intelligence via Graph Neural Networks.

Keyulu Xu

PhD thesis, 2021

How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?

Jingling Li, Mozhi Zhang, Keyulu Xu, John Dickerson, Jimmy Ba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth.

Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi

Proceedings of the 38th International Conference on Machine Learning, 2021

Information Obfuscation of Graph Neural Networks.

Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov

Proceedings of the 38th International Conference on Machine Learning, 2021

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training.

Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks.

Keyulu Xu, Mozhi Zhang, Jingling Li, Simon Shaolei Du, Ken-ichi Kawarabayashi, Stefanie Jegelka

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Noisy Labels Can Induce Good Representations.

Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba

CoRR, 2020

Graph Adversarial Networks: Protecting Information against Adversarial Attacks.

Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov

CoRR, 2020

What Can Neural Networks Reason About?

Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

How Powerful are Graph Neural Networks?

Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Representation Learning on Graphs with Jumping Knowledge Networks.

Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka

Proceedings of the 35th International Conference on Machine Learning, 2018

Distributional Adversarial Networks.

Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

Generating Random Spanning Trees via Fast Matrix Multiplication.

Nicholas J. A. Harvey, Keyulu Xu

Proceedings of the LATIN 2016: Theoretical Informatics, 2016