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Nina Miolane — most-cited papers & profile · Graph Learning
← authors
·
overview
Nina Miolane
15
papers ·
91
citations ·
10
h-index
Santa Barbara City College · University of California, Santa Barbara · Laboratoire Lorrain de Recherche en Informatique et ses Applications · Université de Lorraine
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Most-cited papers
OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
2026
GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization
2025
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
2025
From superposition to sparse codes: interpretable representations in neural networks
2025
Ordered Topological Deep Learning: a Network Modeling Case Study
2025
Topological Deep Learning: Going Beyond Graph Data
2022
Testing geometric representation hypotheses from simulated place cell recordings
2022
A General Framework for Robust G-Invariance in G-Equivariant Networks
2023
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
2024
Position: Topological Deep Learning is the New Frontier for Relational Learning
2024
Attending to Topological Spaces: The Cellular Transformer
2024
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
2024
Top co-authors
Guillermo Bern\'ardez
· 7
Mathilde Papillon
· 6
Mustafa Hajij
· 5
Claudio Battiloro
· 4
Theodore Papamarkou
· 4
Tolga Birdal
· 4
Ghada Zamzmi
· 3
Karthikeyan Natesan Ramamurthy
· 3
Lev Telyatnikov
· 3
Louis Van Langendonck
· 3
Michael T. Schaub
· 3
Pere Barlet-Ros
· 3
Topics
cs.LG
cs.AI
cs.CV
stat.ML
math.AT
cs.NI
cs.SI
q-bio.NC
q-bio.QM
cs.MS