Felix L. Opolka

According to our database, Felix L. Opolka authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations.

Richard Bergna, Sergio Calvo-Ordoñez, Felix L. Opolka, Pietro Liò, José Miguel Hernández-Lobato

CoRR, 2024

2023

Graph Neural Stochastic Differential Equations.

Richard Bergna, Felix L. Opolka, Pietro Liò, José Miguel Hernández-Lobato

CoRR, 2023

Graph classification Gaussian processes via spectral features.

Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Transductive Kernels for Gaussian Processes on Graphs.

Yin-Cong Zhi, Felix L. Opolka, Yin Cheng Ng, Pietro Liò, Xiaowen Dong

CoRR, 2022

Do We Need Anisotropic Graph Neural Networks?

Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas Donald Lane

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets.

Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes.

Felix L. Opolka, Pietro Liò

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Approximate Latent Force Model Inference.

Jacob Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió

CoRR, 2021

Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions.

Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane

CoRR, 2021

2020

Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks.

Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Lio'

CoRR, 2020

Graph Convolutional Gaussian Processes For Link Prediction.

Felix L. Opolka, Pietro Liò

CoRR, 2020

Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks**To appear in the Proceedings of 2020 IEEE International Conference on Smart Computing (SMARTCOMP 2020).

Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Liò

Proceedings of the IEEE International Conference on Smart Computing, 2020

2019

Spatio-Temporal Deep Graph Infomax.

Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro Liò, R. Devon Hjelm

CoRR, 2019