Keyulu Xu
Keyulu Xu
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
How Powerful are Graph Neural Networks?
K Xu, W Hu, J Leskovec, S Jegelka
International Conference on Learning Representations, 2019
19982019
Representation learning on graphs with jumping knowledge networks
K Xu, C Li, Y Tian, T Sonobe, K Kawarabayashi, S Jegelka
International Conference on Machine Learning, 2018
6782018
What Can Neural Networks Reason About?
K Xu, J Li, M Zhang, SS Du, K Kawarabayashi, S Jegelka
International Conference on Learning Representations, 2020
962020
Graph neural tangent kernel: Fusing graph neural networks with graph kernels
SS Du, K Hou, B Póczos, R Salakhutdinov, R Wang, K Xu
Advances in Neural Information Processing Systems, 2019
942019
How neural networks extrapolate: From feedforward to graph neural networks
K Xu, M Zhang, J Li, SS Du, K Kawarabayashi, S Jegelka
International Conference on Learning Representations, 2021
572021
Distributional adversarial networks
C Li, D Alvarez-Melis, K Xu, S Jegelka, S Sra
International Conference on Learning Representations workshop track, 2018
30*2018
Are Girls Neko or Sh\= ojo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
M Zhang, K Xu, K Kawarabayashi, S Jegelka, J Boyd-Graber
Association for Computational Linguistics, 2019
252019
Graphnorm: A principled approach to accelerating graph neural network training
T Cai, S Luo, K Xu, D He, T Liu, L Wang
International Conference on Machine Learning, 2021
212021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
K Xu, M Zhang, S Jegelka, K Kawaguchi
International Conference on Machine Learning, 2021
122021
Generating random spanning trees via fast matrix multiplication
NJA Harvey, K Xu
LATIN 2016: Theoretical Informatics, 522-535, 2016
112016
Noisy labels can induce good representations
J Li, M Zhang, K Xu, JP Dickerson, J Ba
Advances in Neural Information Processing Systems, 2021
72021
Graph Adversarial Networks: Protecting Information against Adversarial Attacks
P Liao, H Zhao, K Xu, T Jaakkola, G Gordon, S Jegelka, R Salakhutdinov
International Conference on Machine Learning, 2021
52021
Information obfuscation of graph neural networks
P Liao, H Zhao, K Xu, T Jaakkola, GJ Gordon, S Jegelka, R Salakhutdinov
International Conference on Machine Learning, 6600-6610, 2021
12021
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
J Li, M Zhang, K Xu, JP Dickerson, J Ba
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
2021
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Articles 1–14