Power Flow Approximation Based on Graph Convolutional Networks. - Valentin Bolz; Johannes Rueß; Andreas Zell (ICMLA, 2019)

Data-Driven Graph Convolutional Neural Networks for Power System Contingency Analysis. - Valentin Bolz; Johannes Rueß; Andreas Zell (ICASSP, 2023)

Leveraging Saliency-Aware Gaze Heatmaps for Multiperspective Teaching of Unknown Objects. - Daniel Weber 003; Valentin Bolz; Andreas Zell; Enkelejda Kasneci (IROS, 2023)

Robust Sampling Methods for Accurate Power Flow Time-Sweep Approximations with Graph Neural Networks. - Valentin Bolz; Johannes Rueß; Andreas Zell (EUSIPCO, 2024)