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stat.ML2025
A Spectral Framework for Graph Neural Operators: Convergence Guarantees and Tradeoffs
Roxanne Holden, Luana Ruiz
Graphons, as limits of graph sequences, provide an operator-theoretic framework for analyzing the asymptotic behavior of graph neural operators. Spectral convergence of sampled gra…
stat.ML2025
Landmark-Based Node Representations for Shortest Path Distance Approximations in Random Graphs
My Le, Luana Ruiz, Souvik Dhara
Learning node representations is a fundamental problem in graph machine learning. While existing embedding methods effectively preserve local similarity measures, they often fail t…