Nicolas Keriven
8 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (5)
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Interdisciplinary Bridge
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Cross-Pollinator
(5)
π§¬
Topic Evolution
π₯
Unstoppable
(6)
β
The Questioner
Conferences
NIPS (6)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
graph neural network
(6)
random graph
(4)
message passing
(3)
stability analysis
(1)
sparse regularization
(1)
concentration inequalities
(1)
support recovery
(1)
weisfeiler-lehman test
(1)
spectral analysis
(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)
graph coarsening
(1)
Papers
Graph Coarsening with Message-Passing Guarantees
NIPS 2024
Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs
JMLR 2024
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
NIPS 2023
Not too little, not too much: a theoretical analysis of graph (over)smoothing
NIPS 2022
On the Universality of Graph Neural Networks on Large Random Graphs
NIPS 2021
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
NIPS 2020
Universal Invariant and Equivariant Graph Neural Networks
NIPS 2019
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
AISTATS 2019