Keyulu Xu - RankMe

24 papers A* 8B 1Journal 11Unranked 3

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