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


May 26, 2021
Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi


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Noisy Labels Can Induce Good Representations


Dec 23, 2020
Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba

* 27 pages, 13 figures 

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Graph Adversarial Networks: Protecting Information against Adversarial Attacks


Oct 07, 2020
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey Gordon, Stefanie Jegelka, Ruslan Salakhutdinov

* Our code is available at https://github.com/liaopeiyuan/GAL 

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How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks


Oct 01, 2020
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka


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GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training


Sep 07, 2020
Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-yan Liu, Liwei Wang


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Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization


Jun 05, 2019
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan Boyd-Graber

* ACL 2019 

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What Can Neural Networks Reason About?


May 31, 2019
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka


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Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels


May 30, 2019
Simon S. Du, Kangcheng Hou, Barnabás Póczos, Ruslan Salakhutdinov, Ruosong Wang, Keyulu Xu


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How Powerful are Graph Neural Networks?


Oct 01, 2018
Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka


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Representation Learning on Graphs with Jumping Knowledge Networks


Jun 25, 2018
Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka

* ICML 2018, accepted as a long oral presentation 

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Distributional Adversarial Networks


Jul 09, 2017
Chengtao Li, David Alvarez-Melis, Keyulu Xu, Stefanie Jegelka, Suvrit Sra


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