Ron Levie
15 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🌍 Conference Polyglot (6)
💎
Century Club
(15)
⚡
Prolific Year
(6)
🔥
Unstoppable
(5)
Conferences
NIPS (6)
ICLR (3)
ICML (3)
CVPR (1)
ECCV (1)
JMLR (1)
Top co-authors
Keywords
graph neural network
(7)
message passing
(3)
message passing neural network
(2)
generalization bound
(2)
universal approximation
(1)
human pose estimation
(1)
community detection
(1)
uniform convergence
(1)
graph regularization
(1)
lipschitz continuity
(1)
image inpainting
(1)
random graph
(1)
approximation algorithm
(1)
graph isomorphism
(1)
node classification
(1)
graph machine learning
(1)
model explanation
(1)
equivariant learning
(1)
graph signal
(1)
traffic flow prediction
(1)
Papers
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
ICLR 2025
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
ICML 2025
Covered Forest: Fine-grained generalization analysis of graph neural networks
ICML 2025
Position: Future Directions in the Theory of Graph Machine Learning
ICML 2024
Learning on Large Graphs using Intersecting Communities
NIPS 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
NIPS 2024
Explaining Image Classifiers With Multiscale Directional Image Representation
CVPR 2023
Approximately Equivariant Graph Networks
NIPS 2023
Unveiling the sampling density in non-uniform geometric graphs
ICLR 2023
Memorization-Dilation: Modeling Neural Collapse Under Noise
ICLR 2023
A graphon-signal analysis of graph neural networks
NIPS 2023
Fine-grained Expressivity of Graph Neural Networks
NIPS 2023
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
NIPS 2022
Cartoon Explanations of Image Classifiers
ECCV 2022
Transferability of Spectral Graph Convolutional Neural Networks
JMLR 2021