Keyulu Xu
9 papers · 2018–2021 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π Conference Polyglot (4) π£ Hot Topic Early Bird π Cross-Pollinator (13) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Triple Crown
β‘
Prolific Year
(5)
β
The Questioner
(3)
Conferences
ICML (4)
ICLR (2)
NIPS (2)
ACL (1)
Top co-authors
Keywords
graph neural network
(5)
representation learning
(3)
graph classification
(2)
knowledge distillation
(1)
batch normalization
(1)
adversarial training
(1)
neural network optimization
(1)
privacy-preserving learning
(1)
cross-lingual alignment
(1)
label noise
(1)
gradient descent
(1)
linear convergence
(1)
deep neural network
(1)
node classification
(1)
embedding alignment
(1)
neighborhood aggregation
(1)
graph convolution
(1)
skip connection
(1)
model optimization
(1)
graph kernel
(1)
Papers
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
ICML 2021
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
NIPS 2021
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
ICLR 2021
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
ICML 2021
Information Obfuscation of Graph Neural Networks
ICML 2021
What Can Neural Networks Reason About?
ICLR 2020
Are Girls Neko or ShΕjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
ACL 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
NIPS 2019
Representation Learning on Graphs with Jumping Knowledge Networks
ICML 2018