| Foundations and modelling of dynamic networks using dynamic graph neural networks: A survey J Skarding, B Gabrys, K Musial IEEE Access, 2021 | 350 | 2021 |
| A robust comparative analysis of graph neural networks on dynamic link prediction J Skarding, M Hellmich, B Gabrys, K Musial IEEE Access 10, 64146-64160, 2022 | 19 | 2022 |
| On the effectiveness of heterogeneous ensembles combining graph neural networks and heuristics for dynamic link prediction J Skarding, B Gabrys, K Musial Ieee Transactions on Network Science and Engineering 11 (4), 3250-3259, 2023 | 1 | 2023 |
| Methods and systems for generating profile data for segments of an electronic map SG Wiesner, J Skarding, K Bösche, G Schmidt US Patent 10,720,057, 2020 | 1 | 2020 |
| Methods and systems for generating parking related data SG Wiesner, J Skarding, K Bösche, G Schmidt US Patent 12,112,633, 2024 | | 2024 |
| Corrections to ‘‘A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction’’ J Skarding, M Hellmich, B Gabrys, K Musial IEEE ACCESS, 2024 | | 2024 |
| A Study on Dynamic Graph Neural Networks for Dynamic Link Prediction J Skarding PQDT-Global, 2022 | | 2022 |
Katarzyna MusialProfessor in Network Science, University of Technology Sydney, AustraliaEmail confirmado em uts.edu.au