Nicolas Keriven
9 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🌍 Conference Polyglot · Bronze
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Topic Evolution
🏆
Keyword Champion
(5)
🔥
Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Keywords
graph neural network
(6)
random graph
(5)
message passing
(3)
stability analysis
(1)
sparse regularization
(1)
concentration inequalities
(1)
support recovery
(1)
weisfeiler-lehman test
(1)
spectral analysis
(1)
local averaging
(1)
expressive power
(1)
fisher-rao metric
(1)
stochastic block model
(1)
convergence guarantee
(1)
node classification
(1)
approximation theory
(1)
positional encoding
(1)
node feature
(1)
equivariant representation
(1)
invariant representation
(1)
Papers
Node Regression on Latent Position Random Graphs via Local Averaging
JMLR 2026
Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs
JMLR 2024
Graph Coarsening with Message-Passing Guarantees
NeurIPS 2024
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
NeurIPS 2023
Not too little, not too much: a theoretical analysis of graph (over)smoothing
NeurIPS 2022
On the Universality of Graph Neural Networks on Large Random Graphs
NeurIPS 2021
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
NeurIPS 2020
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
AISTATS 2019
Universal Invariant and Equivariant Graph Neural Networks
NeurIPS 2019