Keyulu Xu
9 papers · 2018–2021 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 👑 Triple Crown
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Prolific Year · Productive
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The Questioner
(3)
Venues
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Architectures
(7)
Core Methods
(5)
Optimization & Theory · Machine Learning
(4)
Learning Types · Machine Learning
(3)
Techniques
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Natural Language Processing
(1)
Application Areas
(1)
Resources & Methods
(1)
Keywords
graph neural network
(7)
representation learning
(3)
graph classification
(2)
neural tangent kernel
(1)
knowledge distillation
(1)
batch normalization
(1)
neural network optimization
(1)
adversarial training
(1)
embedding alignment
(1)
privacy-preserving learning
(1)
cross-lingual alignment
(1)
label noise
(1)
dynamic programming
(1)
gradient descent
(1)
deep neural network
(1)
linear convergence
(1)
relu activation
(1)
node classification
(1)
sample complexity
(1)
graph representation learning
(1)
Papers
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
ICML 2021
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
NeurIPS 2021
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
ICLR 2021
Information Obfuscation of Graph Neural Networks
ICML 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
ICML 2021
What Can Neural Networks Reason About?
ICLR 2020
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
ACL 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
NeurIPS 2019
Representation Learning on Graphs with Jumping Knowledge Networks
ICML 2018