Spatio-Temporal Deep Graph Infomax. - Felix L. Opolka; Aaron Solomon; Catalina Cangea; Petar Velickovic; Pietro Liò; R. Devon Hjelm (CoRR, 2019)

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 (SMARTCOMP, 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. - Gevorg Yeghikyan; Felix L. Opolka; Mirco Nanni; Bruno Lepri; Pietro Lio' (CoRR, 2020)

Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions. - Shyam A. Tailor; Felix L. Opolka; Pietro Liò; Nicholas D. Lane (CoRR, 2021)

Approximate Latent Force Model Inference. - Jacob Moss; Felix L. Opolka; Bianca Dumitrascu; Pietro Lió (CoRR, 2021)

Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes. - Felix L. Opolka; Pietro Liò (AISTATS, 2022)

Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets. - Felix L. Opolka; Yin-Cong Zhi; Pietro Liò; Xiaowen Dong 001 (AISTATS, 2022)

Do We Need Anisotropic Graph Neural Networks? - Shyam A. Tailor; Felix L. Opolka; Pietro Liò; Nicholas Donald Lane (ICLR, 2022)

Transductive Kernels for Gaussian Processes on Graphs. - Yin-Cong Zhi; Felix L. Opolka; Yin Cheng Ng; Pietro Liò; Xiaowen Dong 001 (CoRR, 2022)

Graph classification Gaussian processes via spectral features. - Felix L. Opolka; Yin-Cong Zhi; Pietro Liò; Xiaowen Dong 001 (UAI, 2023)

Graph Neural Stochastic Differential Equations. - Richard Bergna; Felix L. Opolka; Pietro Liò; José Miguel Hernández-Lobato (CoRR, 2023)

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations. - Richard Bergna; Sergio Calvo-Ordoñez; Felix L. Opolka; Pietro Lio; José Miguel Hernández-Lobato (ICLR, 2025)