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Luana Ruiz — most-cited papers & profile · Graph Learning
← authors
·
overview
Luana Ruiz
11
papers ·
51
citations ·
9
h-index
Johns Hopkins University · Applied Mathematics (United States)
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Most-cited papers
Graphon Neural Networks and the Transferability of Graph Neural Networks
2020 · 43 citations
Graph Neural Tangent Kernel: Convergence on Large Graphs
2023 · 4 citations
Transferability Properties of Graph Neural Networks
2021 · 3 citations
Learning by Transference: Training Graph Neural Networks on Growing Graphs
2021 · 1 citations
Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning
2026
Landmark-Based Node Representations for Shortest Path Distance Approximations in Random Graphs
2025
Training Stable Graph Neural Networks Through Constrained Learning
2021
Training Graph Neural Networks on Growing Stochastic Graphs
2022
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs
2022
A Local Graph Limits Perspective on Sampling-Based GNNs
2023
Sampling Transferable Graph Neural Networks with Limited Graph Information
2024
Top co-authors
Alejandro Ribeiro
· 5
Juan Cervino
· 3
Luiz F. O. Chamon
· 2
Amin Saberi
· 1
and Souvik Dhara
· 1
Gonzalo Mateos
· 1
Haoyu Wang
· 1
Meher Chaitanya
· 1
My Le
· 1
My Le
· 1
Ningyuan Huang
· 1
Renyuan Ma
· 1
Topics
GNN Architectures
Theory & Expressivity
Knowledge Graphs
Recommendation Graphs
Temporal & Dynamic