8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Transductive Kernels for Gaussian Processes on Graphs
Yin-Cong Zhi, Felix L. Opolka, Yin Cheng Ng +2
Kernels on graphs have had limited options for node-level problems. To address this, we present a novel, generalized kernel for graphs with node feature data for semi-supervised le…
cs.SI2020★ 1 cited
Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks
Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni +2
A fundamental problem of interest to policy makers, urban planners, and other stakeholders involved in urban development projects is assessing the impact of planning and constructi…
cs.LG2020★ 8 cited
Graph Convolutional Gaussian Processes For Link Prediction
Felix L. Opolka, Pietro Liò
Link prediction aims to reveal missing edges in a graph. We address this task with a Gaussian process that is transformed using simplified graph convolutions to better leverage the…