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Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations

28 August 2024
Richard Bergna
Sergio Calvo-Ordoñez
Felix L. Opolka
Pietro Liò
Jose Miguel Hernandez-Lobato
    BDL
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Papers citing "Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations"

3 / 3 papers shown
Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Z. Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei-dong Jin
AI4TS
AI4CE
69
0
0
29 Mar 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Alvaro Arroyo
Alessio Gravina
Benjamin Gutteridge
Federico Barbero
Claudio Gallicchio
Xiaowen Dong
Michael M. Bronstein
P. Vandergheynst
31
2
0
15 Feb 2025
Partially Stochastic Infinitely Deep Bayesian Neural Networks
Partially Stochastic Infinitely Deep Bayesian Neural Networks
Sergio Calvo-Ordoñez
Matthieu Meunier
Francesco Piatti
Yuantao Shi
BDL
35
3
0
05 Feb 2024
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