1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Richard Bergna, Sergio Calvo-Ordoñez, Felix L. Opolka +2
We propose a novel Stochastic Differential Equation (SDE) framework to address the problem of learning uncertainty-aware representations for graph-structured data. While Graph Neur…
cs.LG2023★ 1 cited
Graph Neural Stochastic Differential Equations
Richard Bergna, Felix Opolka, Pietro Liò +1
We present a novel model Graph Neural Stochastic Differential Equations (Graph Neural SDEs). This technique enhances the Graph Neural Ordinary Differential Equations (Graph Neural…