| Foundations and modelling of dynamic networks using dynamic graph neural networks: A survey J Skarding, B Gabrys, K Musial IEEE Access, 2021 | 254 | 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 | 13 | 2022 |
| Methods and Systems for Generating Parking Related Data SG Wiesner, J Skarding, K Bösche, G Schmidt US Patent App. 16/337,906, 2019 | 5 | 2019 |
| 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 |
| Corrections to “A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction” J Skarding, M Hellmich, B Gabrys, K Musial IEEE Access 12, 6912-6913, 2024 | | 2024 |
| 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, 2023 | | 2023 |
| A Study on Dynamic Graph Neural Networks for Dynamic Link Prediction J Skarding | | 2022 |
Katarzyna MusialProfessor in Network Science, University of Technology Sydney, AustraliaGeverifieerd e-mailadres voor uts.edu.au
